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[240730] #Xpeng #Hesai #Waabi

By 2024년 07월 30일September 9th, 2024No Comments

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Vueron Newsletter

No. 122

2024.07.30

Category
Related Company
Article
LiDAR
Valeo
Valeo & Seeing Machines Announce Collaboration to Offer Advanced Driver & Occupant Monitoring
Autonomous Driving
Chery
Former Tesla engineer shares thoughts on end-to-end autonomous driving at WAIC 2024
Autonomous Driving
Waabi
Waabi Pioneers Generative AI to Unleash Fully Driverless Autonomous Trucking
LiDAR
Hesai
Hesai Tops the Global Automotive Lidar Ranking for the Third Consecutive Year
LiDAR
Xpeng
Xpeng’s new model due in Q4 to ditch LiDAR and move to Tesla-like pure vision solution

1. Valeo & Seeing Machines Announce Collaboration to Offer Advanced Driver & Occupant Monitoring

  • Valeo and Seeing Machines announce a strategic collaboration to strengthen their position in the driver and occupant monitoring systems (OMS) market.
  • Valeo transfers its driver monitoring perception software activity to Seeing Machines.
  • Seeing Machines acquires Valeo-owned German startup Asaphus, enhancing its team with Asaphus’ unique IP, data, and AI capabilities.
  • Collaboration allows Valeo to integrate Seeing Machines’ interior monitoring software into its OMS hardware and software architecture.
  • New regulations are making driver and occupant monitoring systems mandatory, boosting market demand.
  • Having a Berlin-based team enables Seeing Machines to better address the European market.
  • The collaboration aims to provide innovative, integrated interior sensing solutions to enhance vehicle safety and occupant comfort in the automotive industry.

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Valeo and Seeing Machines announce a strategic partnership to integrate cutting-edge monitoring software into their systems, aiming to meet new EU regulations and expand their market.

2. Former Tesla engineer shares thoughts on end-to-end autonomous driving at WAIC 2024

  • Gu Junli, former Tesla engineer and head of autonomous driving at Chery, shared insights on China’s progress in autonomous driving at the WAIC.
  • Chinese automakers are 1.5 to 2 years behind Tesla in developing “end-to-end neural network” technology.
  • Tesla’s FSD software v12 is a significant advancement, with users traveling 1.2 billion miles and the latest version achieving 372 miles between critical disengagements.
  • Gu expects Chinese companies to integrate data-driven neural networks in ADAS by 2025, with full implementation in production cars by 2026-2027.
  • Li Auto and other Chinese companies are working on partially end-to-end systems for advanced driving features.
  • Xpeng Motors and Huawei are also pursuing end-to-end approaches but face challenges in urban scenarios.
  • Chery plans to launch advanced city NOA functions next year and integrate Level 2 ADAS in 500,000 new cars in 2024.
  • Despite Tesla’s lead, Chinese companies aim to offer personalized self-driving technology globally, with Chery and Xpeng expanding their ADAS capabilities to overseas markets.

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Gu Junli, now with Chery, envisions Chinese automakers achieving advanced autonomous driving capabilities similar to Tesla’s by 2026-2027 through neural network integration.

3. In It for the Long Haul: Waabi Pioneers Generative AI to Unleash Fully Driverless Autonomous Trucking

  • AI is transforming the transportation industry, particularly in autonomous vehicle (AV) technology.
  • Toronto-based startup Waabi is using generative AI to scale self-driving vehicles, starting with long-haul trucking.
  • Waabi announced at GTC it will use NVIDIA DRIVE Thor to bring its AI-powered autonomous trucking solution, Waabi Driver, to market.
  • Waabi plans to launch fully driverless operations next year, offering a cost-efficient and scalable self-driving solution.
  • Waabi is developing on NVIDIA DRIVE OS, the company’s operating system for safe, AI-defined autonomous vehicles.
  • This AI approach reduces extensive on-road testing and enhances safety and efficiency.
  • Waabi’s collaboration with NVIDIA includes a $200 million Series B round, work with Uber Freight, and opening a trucking terminal near Dallas.
  • Waabi aims for faster, safer, and more scalable deployment of autonomous vehicle technology globally.

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Waabi is leveraging generative AI and NVIDIA DRIVE Thor to develop scalable autonomous trucking solutions, aiming for commercial launch next year.

4. Hesai Tops the Global Automotive Lidar Ranking for the Third Consecutive Year

  • Hesai Technology has been named the top automotive lidar company by market share for the third consecutive year by Yole Group.
  • Yole Group’s “Lidar for Automotive 2024” report highlights Hesai’s continued leadership and rapid industry expansion.
  • Hesai holds 37% of the global automotive lidar market and 26% of the passenger car market.
  • The company shipped over 300,000 units of ADAS lidar and secured design wins with 18 OEMs and Tier 1 suppliers across approximately 70 vehicle models by Q1 2024.
  • Hesai dominates the robotaxi lidar market with a 74% share of the $124M market.
  • The company reported the highest revenue and is the only one to achieve positive cash flow in 2023.
  • Hesai’s R&D and production capabilities enable mass production of high-quality lidar, advancing road safety.
  • The company’s market leadership is expected to grow with new design wins and OEM partnerships in 2024.

2022-2023 Lidar Market Share

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Hesai Technology has been recognized as the top global automotive lidar company for the third year by Yole Group, fueled by significant revenue growth and strategic advancements.

5. Exclusive: Xpeng’s new model due in Q4 to ditch LiDAR and move to Tesla-like pure vision solution

  • Xpeng (NYSE: XPEV) plans to launch a new model, codenamed F57, in Q4 2024, which will abandon the use of LiDAR in favor of a vision-based smart driving system similar to Tesla’s.
  • This marks a significant shift for Xpeng, previously the first to install LiDAR in production vehicles, as it aims to align its technology with Tesla’s end-to-end large modeling approach used in FSD V12.
  • The change is also driven by cost reduction goals, with the F57 model part of Xpeng’s strategy to achieve a 25% cost reduction in technology.
  • Xpeng’s XNGP (navigation guided pilot) feature, which already covers nearly all Chinese cities, has been using LiDAR minimally, primarily for static target detection.
  • By 2025, Xpeng aims to enhance its urban smart driving system to match the current highest level of highway driving experience, allowing for extensive autonomous city driving.

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Xpeng’s new F57 model, debuting in Q4, will eliminate LiDAR in favor of a pure vision solution, mirroring Tesla’s approach and aiming for reduced costs.


*Contents above are the opinion of ChatGPT, not an individual nor company

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