As AVs and Robo Taxis take to the streets, 4D Lidar is feeling it's oats! Here's a breakdown of 4D Lidar Tech and it's market leaders!

 

AEVA has lead the technology advances

Business and Investment Report on 4D LiDAR Adoption and Its Benefits

Executive Summary

4D LiDAR (Light Detection and Ranging) technology is revolutionizing autonomous driving, transportation, and beyond by introducing a fourth dimension: time. Unlike traditional 3D LiDAR systems, 4D LiDAR captures both spatial and temporal data, providing precise information about object positions, velocities, and trajectories. This advancement is set to transform the autonomous vehicle (AV) market, urban mobility, and safety systems, making it an attractive sector for investment.

Market Dynamics

Growth Drivers

• Increased Demand for Autonomous Driving: The global autonomous vehicle market is projected to grow at a CAGR of over 20% through 2030, driven by advancements in AI, machine learning, and sensor technologies like 4D LiDAR.

• Regulatory Push for Safety: Governments and regulatory bodies worldwide are mandating improved safety features in vehicles, positioning 4D LiDAR as a key enabler.

• Technological Advancements: Companies like Aeva, Luminar, and Innoviz are driving innovation, making 4D LiDAR systems more compact, cost-effective, and scalable.

Challenges

• High Costs: Although decreasing, the cost of integrating LiDAR remains a challenge for widespread adoption in consumer vehicles.

• Data Processing Requirements: The vast amount of data generated by 4D LiDAR necessitates robust computing power and sophisticated AI algorithms.

• Competition from Other Technologies: Camera-based systems, radar, and advanced machine vision are evolving, potentially competing with LiDAR in some applications.

Key Benefits of 4D LiDAR

1. Enhanced Perception and Safety

   • Real-Time Motion Tracking: Captures both position and velocity of objects, improving situational awareness and decision-making in autonomous systems.

   • Low-Light and Adverse Weather Performance: Superior to cameras in conditions like fog, rain, or darkness.

2. Improved Urban and Highway Navigation

   • Dense Urban Environments: Tracks multiple dynamic objects in crowded settings, reducing accident risks.

   • High-Speed Situations: Accurately predicts the trajectories of vehicles and pedestrians on highways.

3. Scalability Across Industries

   • Beyond automotive, 4D LiDAR is gaining traction in robotics, industrial automation, and smart infrastructure projects.

   • Emerging applications include drone navigation, smart city planning, and advanced rail systems.

Industry Landscape

Market Leaders

1. Aeva Technologies

   
   
   

   • Technological Edge: Aeva’s 4D LiDAR uses Frequency Modulated Continuous Wave (FMCW) technology, offering long-range, high-resolution detection and immunity to interference.

   • Major Partnerships: Selected by a top global automotive OEM as a Tier 1 supplier for a series production vehicle program.

   • Market Recognition: Named a Time Magazine Best Invention for its Aeries II 4D LiDAR.

   • New Collaboration: Partnered with Torc Robotics to supply 4D LiDAR for automated truck transport systems, emphasizing long-haul trucking safety and efficiency.

   • Check out the latest news from AEVA Lidar Tech
     aeva.com/news/

2. Luminar Technologies

   
                            China's Pony Robo Taxis use Luminar Tech
   
   
   

   • OEM Adoption: Partnerships with Volvo and Daimler for next-generation autonomous vehicle systems.

   • Strategic Acquisitions: Recent acquisition of laser module units to strengthen vertical integration.

3. Innoviz Technologies

   
   
   

   • Focus on Automotive: Providing LiDAR for major OEMs, including BMW.

   • Cost Efficiency: Developing compact LiDAR units aimed at mass-market affordability.

Companies Building 4D LiDAR into AV Packs

1. Volvo

   • Supplier: Luminar Technologies

   • Integration: Luminar’s 4D LiDAR is featured in Volvo’s flagship EX90 electric SUV, enhancing safety and semi-autonomous driving capabilities.

2. Mercedes-Benz

   • Supplier: Luminar Technologies

   • Integration: Utilized in the DRIVE PILOT system for Level 3 autonomous driving capabilities.

3. BMW

   • Supplier: Innoviz Technologies

   • Integration: InnovizOne 4D LiDAR incorporated into BMW’s iX and other upcoming models.

4. Toyota

   • Supplier: Aeva Technologies

   • Integration: Partnering with Aeva for advanced 4D LiDAR in pilot programs focused on urban mobility.

5. Lucid Motors

   • Supplier: Aeva Technologies

   • Integration: Incorporating Aeva’s FMCW-based 4D LiDAR in its autonomous driving stack for luxury EVs.

6. TORC (Daimler) partnered with AEVA

   

7. Hyundai

   • Supplier: Velodyne (with plans for potential Aeva integration)

   • Integration: LiDAR is part of Hyundai’s growing focus on Level 3 autonomy for upcoming models.

Emerging Players

Startups and smaller firms are innovating in niche applications, such as drone-based LiDAR mapping and AI-powered data analytics, providing opportunities for venture capital investments.

Investment Opportunities

Automotive Sector

• OEM Adoption: As regulations tighten, major automakers are likely to adopt 4D LiDAR as a standard for advanced driver-assistance systems (ADAS) and autonomous driving.

• Retrofit Market: Opportunities exist in retrofitting older vehicles with advanced LiDAR systems for enhanced safety.

Cross-Industry Applications

• Smart Infrastructure: Integration with smart city projects for traffic management and urban planning.

• Robotics and Industrial Automation: Enhancing precision and efficiency in manufacturing and warehouse operations.

Technology Providers

• Investing in companies like Aeva, Luminar, and Innoviz offers direct exposure to the 4D LiDAR market’s growth.

• Venture capital opportunities abound in startups focusing on niche LiDAR applications.

Risks and Mitigation

1. Technological Obsolescence

   • Mitigation: Focus on companies with robust R&D and adaptability to evolving standards.

2. Regulatory Hurdles

   • Mitigation: Invest in firms proactively engaging with regulatory bodies to shape favorable policies.

3. Market Competition

   • Mitigation: Diversify investments across multiple companies and industries to reduce dependency on a single player or sector.

Conclusion

The adoption of 4D LiDAR technology is poised to redefine the future of autonomous driving and beyond. With its ability to provide unparalleled environmental understanding, 4D LiDAR is a critical component for achieving full autonomy and improving safety standards. Companies like Aeva are leading the charge, making this a promising area for strategic investment. While challenges remain, the long-term growth potential, coupled with ongoing technological advancements, makes 4D LiDAR an attractive opportunity for investors seeking exposure to the next frontier in sensor technology.

Lidar in general is becoming a ubiquitous necessity in automation, robotics and Robo Taxi's, and a clear example of this is the fact that Waymo (owned by GOOG) reported more than 4 million fully autonomous Waymo rides served in 2024 (and 5M all-time)

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Here we rank five prominent Lidar makers!

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AVs, RoboTaxis and robotics all need good Lidar technology. Here we rank five prominent Lidar makers!

 

Here’s the updated analysis and ranking of LiDAR companies, now including Hesai Group, a prominent player in the LiDAR market, alongside Luminar (LAZR), Aeva (AEVA), Innoviz (INVZ), and Ouster (OUST). Hesai's strengths, recent developments, and growing market presence warrant its inclusion.

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1. Luminar Technologies (LAZR)

• Business Prospects: Strong
• Strengths:
  • Dominates the automotive LiDAR space with partnerships with major automakers like Mercedes-Benz, Volvo, and Nissan. ED note: last spring LAZR sold 4,000 to Tesla...hmm)
  • A strong focus on ADAS (Advanced Driver Assistance Systems) and scalability for mass-market vehicles.
  • High visibility in the market and a clear roadmap toward profitability.
• Financials: Substantial cash reserves and strong investor confidence.
• Outlook: Luminar remains the leader in automotive-grade LiDAR due to its established partnerships and scalability.

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2. Hesai Group (HSAI)

• Business Prospects: Rapidly Growing
• Strengths:
  • The largest supplier of LiDAR units by volume, primarily targeting the Chinese market, which is the fastest-growing LiDAR market globally.
  • Hesai has strong partnerships with leading Chinese autonomous vehicle and robotaxi companies, including Nio, Li Auto, and XPeng.
  • Diversified applications in robotics, autonomous trucking, and industrial sectors.
  • Advanced LiDAR products like the AT128 (for ADAS) and Pandora (combining LiDAR and camera).
• Recent Developments:
  • Successfully completed an IPO in early 2023, raising funds to expand production capabilities and R&D.
  • High-volume manufacturing capability gives it a cost advantage over competitors.
• Outlook: Hesai's dominance in Asia and its growing global footprint make it a strong contender, second only to Luminar due to its regional focus and lack of significant Western automotive deals.

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3. Aeva Technologies (AEVA)

• Business Prospects: Promising
• Strengths:
  • Aeva’s FMCW LiDAR technology provides superior performance in poor weather conditions and long-range applications by measuring velocity and distance simultaneously.
  • Strong positioning in autonomous trucking with its partnership with Torc Robotics (Daimler Trucks).
  • Broader applications in critical infrastructure and automotive with partnerships like Volkswagen Group.
• Weaknesses:
  • Limited adoption compared to Luminar and Hesai in high-volume automotive deals.
  • Financial constraints limit scalability in the short term.
• Outlook: Aeva’s unique technology makes it a strong player, but it needs broader adoption to challenge Luminar or Hesai.

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4. Innoviz Technologies (INVZ)

• Business Prospects: Strengthening
• Strengths:
  • Recent partnership with Mobileye, Intel’s autonomous driving unit, significantly boosts its credibility and reach.
  • Existing automotive deals with BMW and Volkswagen for mass-market vehicles.
  • Focus on solid-state LiDAR, ideal for high-performance automotive applications.
• Weaknesses:
  • Slower to commercialize than its peers and faces financial pressures.
• Outlook: The Mobileye deal improves Innoviz’s market position, but it still lags behind in terms of adoption and scale.

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5. Ouster (OUST)

• Business Prospects: Mixed
• Strengths:
  • Significant focus on robotics and non-automotive sectors, including smart infrastructure and industrial automation.
  • Merger with Velodyne in 2023 broadened its product portfolio and market reach.
• Recent Developments:
  • Targeting new growth channels, including warehouse automation and robotics on a larger scale.
• Weaknesses:
  • Limited traction in the automotive market and ongoing financial challenges.
• Outlook: Ouster’s move into robotics adds new growth opportunities but doesn't yet match its peers' automotive success.

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Updated Final Ranking of LiDAR Makers

Here’s the revised ranking, considering Hesai Group’s growing dominance:

1. Luminar Technologies (LAZR)

   • Leading in Western markets with strong automotive partnerships and scalability.

2. Hesai Group (HSAI)

   • Rapid growth and dominance in China, the largest LiDAR market, with increasing global presence.

3. Aeva Technologies (AEVA)

   • Technological leader with FMCW LiDAR, strong potential in trucking and critical infrastructure, but slower adoption in automotive.

4. Innoviz Technologies (INVZ)

   • Mobileye partnership elevates its position but trails in commercialization compared to leaders.

5. Ouster (OUST)

   • Diversified focus into robotics and industrial sectors but lacks scale in automotive adoption.

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Key Takeaways

• Hesai Group’s dominance in China and its high manufacturing volume put it on par with Luminar in terms of business strength.
• Aeva’s technological superiority positions it well for specific applications like autonomous trucking and infrastructure but requires broader adoption to move higher in the rankings.
• Luminar’s market leadership in Western automotive markets remains unmatched.
• Innoviz and Ouster face challenges in scaling but have opportunities in niche markets.

ED Note: 

The above rankings are Ai generated from all information available.

We now own shares of all five of these Lidar makers. 

(AEVA and Hesai are our top 2 holdings at this writing!)

Lidar for Robotics Manufacturers:

Several LiDAR makers are actively partnering with or providing LiDAR to robotics manufacturers, a growing sector that includes autonomous robots for industrial automation, warehouse management, delivery, and more. Here’s an overview of the current partnerships and involvement of the mentioned LiDAR makers in the robotics space:

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1. Ouster (OUST)

• Robotics Partnerships:

  • Ouster has a strong focus on robotics, making it a key supplier for robotics manufacturers.
  • It partners with companies developing autonomous mobile robots (AMRs), warehouse robotics, and industrial robots.
  • Key Customers/Applications:
    • Clearpath Robotics: Provides LiDAR sensors for AMRs.
    • AutoX: Supplies LiDAR for robotic delivery solutions.
  • Expanding its footprint into warehouse automation and industrial robots.

• Why It's Important:
  Ouster’s digital LiDAR is well-suited for robotics due to its compact size, cost-efficiency, and adaptability for indoor and outdoor environments.

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2. Hesai Group (HSAI)

• Robotics Partnerships:

  • Hesai has significant traction in robotics in the Chinese market, supplying LiDAR for industrial, delivery, and service robots.
  • Key Customers/Applications:
    • Collaborates with robotics companies in China for delivery and warehouse automation solutions.
    • Pandora Sensor: Combines LiDAR and cameras, tailored for robotics applications.

• Why It's Important:
  Hesai’s cost-effective, high-volume production capabilities make it a preferred supplier for large-scale robotics deployments.

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3. Aeva Technologies (AEVA)

• Robotics Involvement:

  • Aeva is not yet deeply embedded in the robotics market compared to others.
  • However, 
  • its FMCW LiDAR technology offers a cutting edge advantage for autonomous robots requiring precise velocity measurement in dynamic environments.
  • It has potential to expand into robotics, particularly in high-speed or industrial applications.

• Why It's Important:  Aeva's technology is ideal for future robotics applications, and is considered superior to all the others in size and technology, though current focus is on trucking and automotive sectors.

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4. Innoviz Technologies (INVZ)

• Robotics Involvement:

  • Innoviz is focused on automotive applications and has limited involvement in the robotics space.
  • Its solid-state LiDAR could be applicable for robotics, but no major robotics partnerships have been announced.

• Why It's Important:
  While Innoviz has the technology for robotics, its business strategy is currently aligned with automotive and autonomous vehicles. (See INVZ partners with Mobileye)

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5. Luminar Technologies (LAZR)

• Robotics Involvement:

  • Luminar primarily focuses on automotive-grade LiDAR for ADAS and autonomous vehicles.
  • It has no significant known partnerships with robotics manufacturers.

• Why It's Important:
  Luminar’s premium technology is targeted at high-margin automotive applications, making it less competitive in the cost-sensitive robotics market.

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Key Summary

• Ouster and Hesai Group are the most active in the robotics space, partnering with manufacturers and targeting applications like warehouse automation, delivery robots, and industrial robotics.
• Aeva has the potential to enter and, make a splash, the robotics market due to its superior technology but is not yet focused there.
• Innoviz and Luminar are primarily automotive-focused and have limited robotics presence.

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Investment Report on Innoviz Technologies Ltd (INVZ)

Introduction Innoviz Technologies Ltd (NASDAQ: INVZ) is a leading provider of high-performance LiDAR sensors and perception software that enable the mass production of autonomous vehicles (AVs). The company’s innovative technology solutions are critical for enhancing the safety and functionality of autonomous systems across industries.

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Technology Overview

LiDAR Sensors Innoviz’s core technology revolves around advanced solid-state LiDAR (Light Detection and Ranging) sensors. Unlike mechanical LiDAR systems, Innoviz’s solid-state design ensures higher durability, reliability, and scalability for mass production. Key features include:

• High-Resolution Imaging: Offers detailed environmental mapping.

• Long-Range Detection: Extends up to 250 meters, suitable for highway driving and urban environments.

• Compact Design: Facilitates integration into various vehicle designs.

Perception Software Innoviz complements its LiDAR hardware with cutting-edge perception software that processes LiDAR data to create a real-time 3D view of the surroundings. This software is vital for object detection, classification, and tracking, enabling safe navigation in dynamic environments.

Recent Tech Advancements at INVZ

• InnovizTwo LiDAR: Enhanced performance with reduced cost, enabling greater adoption across consumer vehicles.

• Innoviz360: A next-generation LiDAR designed for applications beyond automotive, such as robotics, drones, and industrial automation.

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Partnerships and Collaborations

Autonomous Vehicle (AV) Ecosystem Innoviz has established itself as a key player in the AV ecosystem through partnerships with leading automotive manufacturers and technology companies. Notable collaborations include:

• BMW: Innoviz is the exclusive supplier of LiDAR sensors for BMW’s upcoming Level 3 autonomous vehicles.

• Robotics & Industrial Applications: Partnerships with robotics firms to integrate Innoviz’s LiDAR technology into warehouse automation and delivery systems.

Newest Partnership with Mobileye 

Today, Innoviz announced a strategic partnership with Mobileye, a global leader in AV technology and advanced driver-assistance systems (ADAS). This collaboration marks a significant milestone for Innoviz, as Mobileye’s robust ecosystem will amplify the reach and integration of Innoviz’s LiDAR technology.

• Scope of Partnership:

  • InnovizTwo will be integrated into Mobileye’s next-generation autonomous driving platforms.

  • The collaboration aims to reduce costs and accelerate timelines for deploying scalable autonomous solutions.

• Strategic Impact:

  • Strengthens Innoviz’s market position in the competitive AV industry.

  • Expands revenue opportunities through Mobileye’s established relationships with automakers.

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Financial Performance

Recent Financial Metrics As of the latest fiscal reports:

• Revenue: $7.2 million in Q3 2024, reflecting a YoY growth of 68%.

• Gross Margin: Improved to 23%, up from 15% YoY, driven by cost optimization in manufacturing.

• Net Loss: Reported a net loss of $24.5 million, narrowing from $30 million YoY.

• Cash and Cash Equivalents: $145 million, providing a solid runway for continued R&D investment.

Growth Prospects

• Automotive Market Penetration: Expected to grow significantly with production agreements like the one with BMW.

• Diversified Applications: Expansion into non-automotive sectors such as industrial automation and smart cities.

• Mobileye Partnership: Anticipated to drive significant revenue growth starting in 2025.

Risks

• Competitive Market: Faces competition from LiDAR providers like Aeva, Oust and Luminar.

• Profitability Timeline: Continued net losses highlight the challenge of achieving profitability in the near term.

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Investment Outlook

Strengths

• Industry-leading technology in LiDAR sensors and perception software.

• Strategic partnerships with top-tier players like BMW and Mobileye.

• Strong growth trajectory in revenue and market adoption.

Challenges

• High R&D and operational expenses impacting short-term profitability.

• Dependence on broader AV market adoption and regulatory developments.

Conclusion Innoviz Technologies Ltd represents a compelling investment opportunity for those seeking exposure to the autonomous driving and advanced sensor market. Its recent partnership with Mobileye and continued technology advancements position it as a frontrunner in the LiDAR industry. However, potential investors should weigh the risks associated with market competition and profitability timelines.

Recommendation Consider Innoviz as a growth-oriented investment within a diversified portfolio, particularly for those with a long-term outlook on the AV and robotics industries.

ED Note:

We are invested in Innoviz, Aeva, Oust and Luminar, in the Lidar market!

It's Time for Elon Musk to Wake Up and Smell the Lidar that is eating Tesla's lunch!

AVs, RoboTaxis and robotics all need good Lidar technology. 

Here we rank five prominent Lidar makers!

It is never wrong to take profit. We're staying long stocks, but skimming some cream from the top today!

 

This week we trimmed some high flyers.  Here's the run down!

IONQ up over 400% since our buy in - Trimmed today 1/2

QBTS since we began buying at .41c, we trimmed QBTS today by 1/2 for a profit of 676%

APLD trimmed by 1/3 for a profit of 25.3%

ELF - Sold E.L.F. Beauty for a profit on 27% on the news of some legal problems

Losses:

Stopped out of CHPT for a loss of 32%

Adding to:

AMD, MU, RPRX CABA BEAM NTLA NOK EQNR ENVX AEVA

We invest our hard earned money to make a profit.  Don't make the mistake of falling in love with any stock as the market has a way of kicking you in the pants if you do.

Wishing you all great profit in investing!

HP/Ed

RoboTaxi's are coming and the companies building them need suppliers like these microcap stocks!

 

Amazon's Zooks - RoboTaxi

Here are 3, microcap, public Tech companies involved in supplying crucial technology 

to the driverless car industry (as well as the automation and robotics industries)

1. Ouster, Inc. (OUST): Specializes in high-performance lidar sensors used in autonomous vehicles and robotics for mapping and navigation.

2. Aeva Technologies, Inc. (AEVA): Develops lidar and perception systems that provide 4D sensing for autonomous vehicles, enhancing their ability to perceive the environment.

3. Foresight Autonomous Holdings Ltd. (FRSX): Focuses on developing advanced safety and autonomous driving solutions, including multi-spectral vision systems for driverless cars.

Please note that stock prices are volatile and can change rapidly. Please verify the current share prices through a reliable financial source.

Here is a rundown of each of these tech microcaps!

Ouster, Inc. (Ticker: OUST)

Company Overview

Ouster is a leading provider of high-resolution digital lidar sensors used in autonomous vehicles, robotics, mapping, and industrial automation. Founded in 2015 and headquartered in San Francisco, California, Ouster aims to make high-performance lidar technology widely accessible through scalable manufacturing and affordable pricing.

Founders and Backgrounds

• Angus Pacala: Co-founder and CEO of Ouster. Pacala holds a Bachelor's and Master's degree in Mechanical Engineering from Stanford University. Before starting Ouster, he co-founded Quanergy Systems, another lidar technology company, where he served as Director of Engineering. His expertise lies in hardware design, optics, and photonics.

• Mark Frichtl: Co-founder and former CTO of Ouster. Frichtl also graduated from Stanford University with a degree in Mechanical Engineering. Prior to Ouster, he worked as a hardware engineer at Apple, contributing to the development of various consumer electronics. His background is in hardware engineering and product development.

Position in the Industry

Ouster differentiates itself with its digital lidar technology, which uses silicon semiconductor manufacturing processes to produce lidar sensors. This approach allows for mass production at a lower cost compared to traditional analog lidar systems. Ouster's sensors are known for their high resolution, reliability, and compact form factor, making them suitable for integration into a wide range of vehicles and machinery.

Ouster absorbed competitor, Velodyne technologies in the past year, enhancing it's production and development growth and absorbing Velodyne clients. It competes with other lidar providers like Luminar but positions itself as a more cost-effective solution without compromising on performance. Ouster has established partnerships across automotive, industrial, and robotics sectors, enhancing its presence in the autonomous vehicle supply chain.

Financials

Ouster became a publicly-traded company through a merger with Colonnade Acquisition Corp., a special purpose acquisition company (SPAC), in March 2021. The merger provided Ouster with significant capital to scale its operations.

• Revenue Growth: The company reported increasing revenues driven by higher sensor sales across various industries.
• Investments: Significant funds are allocated to research and development to improve sensor performance and reduce costs.
• Profitability: Ouster is becoming profitable, focusing on growth and market penetration.

Please verify the latest financial statements for up-to-date information, as financial conditions can change.

Technology Advances

Ouster's key technological advancements include:

• Digital Lidar Architecture: Utilizes complementary metal-oxide-semiconductor (CMOS) technology for both transmitting and receiving elements, enabling scalable production.
• Multi-Beam Flash Lidar: Offers high-resolution 3D imaging with a simplified design, reducing moving parts and increasing durability.
• Scalable Manufacturing: Their sensors can be produced using existing semiconductor fabrication infrastructure, lowering costs.

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Aeva Technologies, Inc. (Ticker: AEVA)

4D Lidar on a chip

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Company Overview

Aeva Technologies specializes in sensing and perception systems for autonomous vehicles. Founded in 2017 and based in Mountain View, California, Aeva develops lidar sensors that integrate velocity measurements at each point, enhancing the detection capabilities of autonomous systems.

Founders and Backgrounds

• Soroush Salehian: Co-founder and CEO. Salehian previously worked at Apple in the Special Projects Group, focusing on hardware development for new products. He holds a degree in Electrical Engineering from Stanford University.

• Mina Rezk: Co-founder and CTO. Rezk also hails from Apple, where he worked on developing sensing technology for consumer electronics. He has a background in physics and engineering.

Both founders leveraged their experience at Apple (remember Apple car) to create advanced sensing solutions aimed at overcoming the limitations of existing lidar technologies.

Position in the Industry

Aeva is recognized for its unique approach to lidar technology, employing Frequency Modulated Continuous Wave (FMCW) methodologies. This allows their sensors to measure instant velocity and position, reducing interference and enhancing object detection accuracy.

The company's technology has attracted partnerships with major automotive manufacturers and suppliers, positioning Aeva as a key player in the next generation of autonomous vehicle sensors. They compete with companies like Velodyne and Innoviz but stand out due to their FMCW technology.

Financials

Aeva went public via a SPAC merger with InterPrivate Acquisition Corp. in March 2021, providing capital to accelerate product development and commercialization efforts.

• Revenue: Primarily generated from partnerships and development contracts.
• Investments: Focused heavily on R&D to refine their FMCW lidar technology.
• Profitability: Not yet profitable as the company invests in scaling its technology and manufacturing capabilities.

For the latest financial updates, please consult recent company filings.

Technology Advances

Aeva's notable technological contributions include:

• 4D Lidar on Chip: Integrates all key components onto a silicon photonics chip, reducing size and cost.
• Instant Velocity Measurement: Their sensors can detect the velocity of objects at each point, improving tracking and identification.
• Long-Range Performance: Capable of detecting objects at distances exceeding 300 meters.

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Foresight Autonomous Holdings Ltd. (Ticker: FRSX)

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Company Overview

Foresight Autonomous Holdings is an Israeli technology company founded in 2015, focusing on automotive vision systems for advanced driver assistance systems (ADAS) and autonomous driving applications. The company's solutions are designed to improve vehicle safety by providing accurate and reliable detection capabilities.

Founders and Backgrounds

• Haim Siboni: Founder and CEO. Siboni is also the CEO of Magna B.S.P., a company specializing in security systems. He has a background in management and technology development, particularly in electro-optics and surveillance systems.

Position in the Industry

Foresight leverages stereo vision and multi-spectral imaging technology to create 3D images of the environment, enhancing object detection accuracy. Their systems are designed to perform in various weather and lighting conditions, addressing common challenges faced by optical sensors.

The company positions itself as a provider of cost-effective vision solutions for the automotive industry, targeting manufacturers and suppliers seeking to enhance the safety features of their vehicles.

Financials

Foresight is a smaller player compared to its peers, with financials reflecting its early-stage development status.

• Revenue: Generated from pilot projects, prototypes, and initial sales.
• Investments: Significant expenditure on R&D to develop and refine their vision systems.
• Profitability: The company has not yet achieved profitability, focusing on technology development and market penetration.

Always refer to the most recent financial reports for up-to-date information.

Technology Advances

Key technological advancements by Foresight include:

• QuadSight Vision System: Utilizes four cameras (two infrared and two visible light) to achieve near-perfect object detection in all conditions.
• Multi-Spectral Stereo Vision: Combines inputs from different spectral bands to enhance detection capabilities.
• Software Solutions: Advanced algorithms for image processing, object recognition, and distance measurement.

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Conclusion

These three companies play significant roles in advancing the technology necessary for driverless cars:

• Ouster focuses on making high-resolution lidar sensors more accessible through digital technology and scalable manufacturing.
• Aeva introduces innovative FMCW lidar technology that measures velocity, enhancing the perception capabilities of autonomous vehicles.
• Foresight Autonomous provides advanced vision systems that improve safety through accurate detection in challenging conditions.

Their founders bring a wealth of experience from leading technology companies and specialized fields, driving innovation within the autonomous vehicle industry. While each company is at different stages of financial maturity, they all contribute critical technologies that support the growth and development of driverless cars.

Note: The information provided is based on data available up to September 2021. For the latest updates on financials, company developments, and technological advancements, please consult recent company disclosures and reputable financial news sources.

Editor Note:

Full Disclosure: we own shares in AEVA, LAZR and OUST

Lidar technology. Here we rank five prominent Lidar makers!

The not so secret technology, that is eating Tesla's lunch!

Why Cameras will not replace Lidar in Automation, AVs and Robotics going forward!

 

While camera systems have made significant advancements in recent years, it's unlikely that they will entirely replace LiDAR (Light Detection and Ranging) in automation, autonomous vehicles (AVs), or robotics. Instead, a combination of sensors—including cameras, LiDAR, and sometimes radar—is expected to remain the industry standard for the foreseeable future.

Advantages of Camera Systems:

1. Rich Visual Information: Cameras capture detailed visual data, including color and texture, which is essential for recognizing and interpreting traffic signs, signals, and road markings.
2. Cost-Effectiveness: Cameras are generally less expensive than LiDAR systems, making them an attractive option for reducing overall system costs.
3. Advancements in Computer Vision: Improvements in machine learning and computer vision algorithms have enhanced the ability of cameras to interpret complex environments.

Limitations of Camera Systems:

1. Depth Perception Challenges: Cameras struggle with accurate depth perception, especially in varying lighting conditions. Estimating distances using stereo vision is computationally intensive and less reliable than LiDAR's direct measurements.
2. Sensitivity to Environmental Conditions: Cameras can be adversely affected by poor lighting, glare, fog, or heavy rain, which can degrade image quality and sensor performance.

Advantages of LiDAR:

1. Precise Distance Measurement: LiDAR provides accurate 3D mapping of the environment by measuring the time it takes for laser pulses to return after hitting an object.
2. Operational in Various Conditions: LiDAR is less affected by lighting variations and can operate effectively in both day and night conditions.
3. Enhanced Safety and Redundancy: In safety-critical applications like autonomous driving, having multiple sensor modalities increases system reliability.

Industry Trends:

• Tesla's Camera-Centric Approach: Tesla has notably moved towards a camera-only system called "Tesla Vision," relying heavily on neural networks and advanced algorithms.
• Multi-Sensor Strategies: Companies like Waymo and Cruise continue to use LiDAR in combination with cameras and radar to enhance reliability and safety.
• Cost Reduction in LiDAR Technology: The cost of LiDAR systems has been decreasing due to technological advancements and increased production scale, making them more accessible.

publicly traded companies:

1. Luminar Technologies (NASDAQ: LAZR)

   • Overview: Luminar specializes in long-range, high-resolution LiDAR sensors for autonomous vehicles.
   • Growth Factors: Partnerships with major automotive manufacturers like Volvo and Toyota position the company for mass-market adoption.

2. Innoviz Technologies (NASDAQ: INVZ)

   • Overview: Innoviz develops solid-state LiDAR sensors that meet automotive-grade standards.
   • Growth Factors: Collaborations with companies like BMW enhance their prospects in the automotive sector.

3. Ouster (NYSE: OUST)

   • Overview: Ouster offers high-resolution, digital LiDAR sensors for various industries, including automotive and robotics.
   • Growth Factors: Their modular and scalable technology appeals to a broad market.
   • Merger: In February 2023, Ouster and Velodyne Lidar merged, combining their technologies to offer enhanced LiDAR solutions with improved performance, cost-effectiveness, and a broader product portfolio for various applications.

4. Aeva Technologies (NYSE: AEVA)

   • Overview: Aeva develops LiDAR systems with integrated velocity detection for detailed environmental mapping.
   • Growth Factors: Partnerships with companies like Volkswagen indicate strong potential for growth.
   • Aeva's advanced LiDAR technology provides simultaneous distance and direct velocity measurements using Frequency Modulated Continuous Wave (FMCW) technology, offering high-resolution 3D mapping with precise motion detection for enhanced environmental perception in autonomous systems.

5. Hesai Technology (NASDAQ: HSAI)

   • Overview: Based in China, Hesai focuses on hybrid solid-state LiDAR sensors for autonomous vehicles and robotics.
   • Growth Factors: Significant funding and global expansion efforts position them well in the Chinese market.

6. Valeo (EPA: FR)

   • Overview: Valeo is a major automotive supplier producing LiDAR systems like the SCALA sensor.
   • Growth Factors: Their established presence and integration into vehicles by manufacturers such as Audi give them a competitive edge.

Conclusion:

These publicly traded companies are poised for growth due to technological innovations, strategic partnerships, and increasing market demand for LiDAR solutions in autonomous vehicles and other applications.

Given the complementary strengths and weaknesses of cameras and LiDAR, it's more plausible that they will continue to be used together rather than cameras entirely replacing LiDAR. The integration of multiple sensor types allows for greater accuracy, reliability, and safety, which are paramount in automation, AVs, and robotics. While camera technology and computer vision will continue to improve, LiDAR offers unique advantages that make it a valuable component of sophisticated sensing systems.

Editor note:

Although our top 3 picks in the sector include AEVA and LAZR, it is OUST that may have an edge: Here's why:

Ouster (NYSE: OUST)

Overview:

• Merger with Velodyne Lidar: In February 2023, Ouster completed a merger with Velodyne Lidar, combining two of the industry's leading portfolios and technologies.
• Diverse Product Portfolio: The merged entity offers a comprehensive range of LiDAR solutions, including both spinning and solid-state sensors, catering to automotive, industrial, robotics, and smart infrastructure sectors.
• Technological Innovation: Ouster focuses on digital LiDAR technology, which offers high resolution and reliability with a path toward significant cost reductions through semiconductor manufacturing techniques.

Market Positioning:

• The merger consolidates resources and expertise, enhancing their competitive edge and accelerating innovation.
• A broader customer base and diversified applications reduce reliance on any single market segment, potentially stabilizing revenue streams.
• A pointed focus on Robotics and industrial automation!
  

It's Time for Elon Musk to Wake Up and Smell the Lidar that is eating Tesla's lunch!

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January 20, 2025

Androids, Humanoid Robots, whatever the label, they are coming. Now, Who is leading the charge into this lucrative, futuristic market?

Aeva is expanding its footprint in autos with OEM partnerships. They are also advancing into Robotics and Automation!

 

Founded by two ex-Apple executives who spearheaded Apple's push into sensing technology!

Some of the significant developments include:

1. Daimler Truck Partnership: Aeva continues to advance its production program with Daimler Truck. This is a major partnership, where Aeva is supplying its 4D LiDAR sensors for Daimler’s next-generation trucks, a deal valued at approximately $1 billion​(Aeva)(MarketScreener).

2. National Defense Security Organization: Aeva’s 4D LiDAR technology was selected by a top U.S. national defense security organization to help protect critical energy infrastructure, marking an important expansion into the security sector​(Aeva).

3. New Automotive and Industrial Prospects: Aeva is making significant progress with multiple global top 10 passenger OEMs in the automotive sector and has continued to secure opportunities in industrial applications with companies like Nikon​(Aeva).

These developments indicate strong ongoing demand for Aeva's technology across various sectors, and the company is poised to secure additional contracts throughout 2024.

As of the second quarter of 2024, Aeva Technologies (AEVA) has the following financial position:

1. Revenue: Aeva reported revenue of $2.0 million for Q2 2024, which is a significant increase from the $0.7 million reported in Q2 2023. For the first half of 2024, the company reported total revenue of $4.12 million, compared to $1.89 million for the same period in 2023​(MarketScreener).

2. Cash and Cash Equivalents: As of June 30, 2024, Aeva had cash, cash equivalents, and marketable securities totaling $160.2 million. Additionally, the company has access to an available credit facility of $125.0 million​(Aeva).

3. Operating Loss: The company reported a GAAP operating loss of $48.9 million for Q2 2024, compared to a GAAP operating loss of $38.2 million in Q2 2023. The non-GAAP operating loss for Q2 2024 was $32.0 million, slightly higher than the $31.1 million loss reported in the previous year​(Aeva).

4. Net Loss: Aeva’s GAAP net loss for Q2 2024 was $43.39 million, with a loss per share of $0.82, consistent with the previous year. For the first six months of 2024, the net loss amounted to $78.72 million​(MarketScreener).

5. Market Performance: As of the latest updates, Aeva's stock price was trading at around $4.09 per share, with a market capitalization of approximately $215.81 million. The company has a 52-week trading range between $2.33 and $7.60​(Yahoo Finance Canada).

Overall, while Aeva has made progress in increasing its revenue and securing significant contracts, it continues to operate at a loss. However, the company has a strong cash position and access to additional capital, which provides a buffer as it continues to develop its technology and expand its market reach.

Aeva Technologies is actively pursuing several key business developments and partnerships as part of its growth strategy for 2024 and beyond:

1. Automotive Sector Expansion: Aeva is working to expand its footprint within the automotive industry, particularly with multiple global top 10 passenger OEMs. The company is striving to have its 4D LiDAR technology adopted by more automotive manufacturers, building on its existing partnership with Daimler Truck. This expansion is aimed at securing more production programs and scaling its technology across a broader range of vehicles​(Aeva).

2. Industrial Applications: Aeva has partnered with Nikon in the industrial sector, focusing on integrating its LiDAR technology into industrial automation and robotics. The company sees significant potential in this area and is looking to further develop partnerships that could lead to more widespread adoption of its technology in various industrial applications​(Aeva).

3. Security and Infrastructure: Aeva recently made strides into the security sector by partnering with a top U.S. national defense security organization. This partnership focuses on using Aeva’s 4D LiDAR to protect critical energy infrastructure. The company is likely to pursue additional contracts within the defense and critical infrastructure sectors​(Aeva).

4. Geographical Expansion: Aeva is also expanding its presence in Europe with the establishment of a new Automotive Center of Excellence in Germany. This move is part of a broader strategy to increase its global reach and support its automotive and industrial partnerships across Europe​(Aeva).

5. Diversified Applications: Beyond its current focus areas, Aeva is exploring opportunities in other sectors such as consumer electronics, health, and smart infrastructure. The company believes that its FMCW (Frequency Modulated Continuous Wave) LiDAR technology has broad applicability, and it is aiming to secure partnerships in these emerging areas​(Aeva).

Aeva's "4D" LiDAR is a significant advancement over traditional 3D LiDAR technology, offering several key advantages that enhance its effectiveness, particularly in autonomous driving, robotics, and industrial applications. 

Here’s how Aeva’s 4D LiDAR improves upon 3D LiDAR:

1. Velocity Detection

• 4D LiDAR: Aeva’s 4D LiDAR incorporates an additional dimension by directly measuring the instant velocity of objects along with their 3D position. This capability is enabled by Aeva's use of Frequency Modulated Continuous Wave (FMCW) technology, which allows the sensor to detect the speed at which objects are moving relative to the sensor. This is crucial for applications like autonomous driving, where understanding not just where an object is, but how fast it’s moving, can significantly improve safety and decision-making.
• 3D LiDAR: Traditional 3D LiDAR systems measure only the spatial position (x, y, z coordinates) of objects and lack the ability to directly detect the velocity of moving objects. Velocity information in 3D LiDAR systems must typically be inferred from multiple frames, which can introduce errors and latency.

2. Improved Perception in Complex Environments

• 4D LiDAR: The ability to detect velocity in addition to position allows Aeva’s 4D LiDAR to better distinguish between stationary and moving objects, even in cluttered or dynamic environments. This can reduce false positives and improve object tracking, leading to more accurate perception and safer autonomous navigation.
• 3D LiDAR: In complex environments, 3D LiDAR can struggle to accurately track objects, especially when multiple objects are close together or when objects move quickly. The lack of direct velocity information can lead to challenges in differentiating between objects and understanding their movement.

3. Longer Range and Higher Resolution

• 4D LiDAR: Aeva’s 4D LiDAR offers longer detection ranges and higher resolution, which are critical for early detection and classification of objects in the environment. This is particularly important for high-speed applications like autonomous driving, where quick response times are essential.
• 3D LiDAR: While 3D LiDAR systems can offer high resolution, they typically have a shorter range and are less effective at detecting small or distant objects with the same accuracy as 4D LiDAR.

4. Immunity to Interference

• 4D LiDAR: Aeva’s FMCW-based 4D LiDAR is inherently immune to interference from other LiDAR systems and environmental factors such as bright sunlight. This makes it more reliable in real-world conditions, where multiple sensors might operate simultaneously, or where the environment could otherwise degrade sensor performance.
• 3D LiDAR: 3D LiDAR systems using Time-of-Flight (ToF) technology can be susceptible to interference from other LiDAR units and external light sources, which can compromise data accuracy and reliability.

5. Lower Power Consumption

• 4D LiDAR: The design of Aeva’s 4D LiDAR allows for lower power consumption compared to traditional LiDAR systems. This is particularly advantageous in applications like autonomous vehicles, where energy efficiency is critical for extending operational range and reducing overall power demands.
• 3D LiDAR: Traditional 3D LiDAR systems typically consume more power, which can be a limiting factor in battery-powered applications.

In summary, Aeva’s 4D LiDAR provides a more comprehensive and accurate perception system by directly measuring velocity, offering better performance in complex environments, and delivering enhanced range, resolution, and reliability compared to traditional 3D LiDAR systems. These advancements make 4D LiDAR particularly well-suited for advanced applications in autonomous vehicles, robotics, and other areas requiring precise and reliable perception technology​(Aeva)

Aeva's LiDAR technology is particularly suitable and, in many cases, preferable for robotics and automation due to several key features that align well with the needs of these applications:

1. High-Precision Velocity Measurement

• Relevance to Robotics: In robotics, precise and real-time understanding of an object's speed is crucial for tasks like navigation, obstacle avoidance, and manipulation. Aeva’s 4D LiDAR uniquely measures the instant velocity of objects directly, enabling robots to make faster and more accurate decisions in dynamic environments. This feature reduces latency and improves the safety and effectiveness of robotic systems.
• Comparison to Traditional LiDAR: Traditional 3D LiDAR systems lack direct velocity measurement, which means that robots must rely on data from multiple frames to estimate velocity, leading to potential errors and slower response times.

2. Improved Perception in Complex Environments

• Relevance to Automation: Automation systems often operate in environments where multiple objects move simultaneously, such as in manufacturing floors or warehouses. Aeva’s LiDAR can differentiate between moving and stationary objects more accurately due to its 4D capabilities, reducing the risk of collisions and improving efficiency.
• Comparison to Traditional LiDAR: Traditional 3D LiDAR can struggle to distinguish between closely spaced or fast-moving objects, leading to less reliable data and potential operational slowdowns or errors in automated systems.

3. Longer Range and High Resolution

• Relevance to Robotics and Automation: Many automated systems require sensors that can detect objects at longer distances with high accuracy to ensure timely responses, especially in large or complex environments like industrial automation or outdoor robotics. Aeva’s LiDAR offers superior range and resolution, which helps in detecting smaller objects or objects at a distance, ensuring better performance in various automation tasks.
• Comparison to Traditional LiDAR: While traditional LiDAR systems provide good resolution, their shorter range can be a limitation in environments where long-range detection is necessary.

4. Immunity to Interference

• Relevance to Robotics and Automation: In industrial settings or areas with multiple sensors, interference from other LiDAR systems or environmental factors like sunlight can degrade performance. Aeva’s FMCW-based LiDAR is immune to such interference, ensuring consistent and reliable operation in these environments.
• Comparison to Traditional LiDAR: Traditional LiDAR systems using Time-of-Flight technology can be more susceptible to interference, which might result in inaccurate readings or the need for more complex data filtering.

5. Lower Power Consumption

• Relevance to Robotics: Many robotic systems, especially mobile ones, have limited power resources. Aeva’s LiDAR technology is designed to consume less power, making it ideal for battery-operated robots or drones where energy efficiency is critical.
• Comparison to Traditional LiDAR: Traditional LiDAR systems typically consume more power, which can limit their suitability for certain applications, particularly in mobile or remote systems.

6. Versatility Across Applications

• Relevance to Robotics and Automation: Aeva's 4D LiDAR is designed to be versatile, making it applicable across a range of automation tasks, from autonomous vehicles to industrial robots and even drones. This adaptability makes it a strong candidate for deployment in various automated systems, providing a unified sensing solution across different platforms.
• Comparison to Traditional LiDAR: While 3D LiDAR is effective in many applications, the additional capabilities of Aeva’s 4D LiDAR make it a more comprehensive and versatile option, especially in scenarios that demand high precision and robustness.

In summary, Aeva’s 4D LiDAR technology offers several advantages that make it particularly well-suited for robotics and automation, including precise velocity measurement, improved perception, longer range, immunity to interference, and lower power consumption. These features not only enhance the performance of robotic and automated systems but also expand the potential applications of these systems in more challenging environments​(Aeva) (Yahoo Finance Canada).

Overall, Aeva is pursuing a multi-faceted growth strategy that includes deepening existing partnerships, expanding into new markets, and diversifying the applications of its 4D LiDAR technology across different industries including automation and robotics.

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