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Week 49
There is no slowing down in autonomous vehicles.
Technology developments and market deployment are advancing rapidly.
The convergence of AI, cloud technologies, and hardware innovations drive scalable, cost-effective, and versatile solutions for autonomous vehicles
Here’s an analysis of key new product launches, technology developments, partnerships, supply chain deals, investments and regulations in Week 49.
ADAS Features, Sensors, Software & Architectures
Intelligent Sensing and Machine Vision
Subaru’s EyeSight ADAS system will use onsemi’s Hyperlux image sensor AR0823AT image sensor to refine stereo camera technology with AI inference. Onsemi offers intelligent vision solutions for ADAS with 8-megapixel capability. In July 2024, onsemi acquired SWIR Vision Systems to enhance their portfolio with SWIR infrared solutions which could improve visibility in adverse conditions.
High-Performance Computing (HPC) to boost AI processing capabilities
WeRide’s GXR robotaxi platform features an HPC 2.0 high-performance computing platform with over 1,300 TOPS of AI computing power. GXR’s Sensor Suite 5.6 (SS5.6) features 20 sensors including Lidar for blind spot-free perception and 200-meter front detection.
EXEED Exlantix ET Falcon Level 2 comes with Nvidia DRIVE ORIN chips, boasting a computing power of up to 508 TOPS.
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Service-Oriented Architecture (SOA)
Forvia uses Wipro’s Engineering Edge’s Cloud Car Solution to move to Service-Oriented Architecture. The company sees microservices and container architecture as enablers of modular, containerized software solutions to enhance flexibility and reduce time-to-market.
AI in Automotive Software
LeddarTech to showcase the latest AI-driven automotive software in collaboration with Arm and TI at CES 2025 including a patented AI-driven software that enhances advanced driver assistance systems, autonomous driving and parking applications through low-level sensor fusion.
Lotus runs its ROBO Soul self-driving software stack on AWS, enabling cars and trucks to automatically perform tasks such as parking and highway driving. Lotus will use AWS to implement its Vision80 Strategy of becoming a global luxury technology brand by 2028. Cloud integration with AWS is accelerating deployment, as seen in Lotus’s collaboration with AWS for IoT and generative AI applications.
Innovative ADAS Driving and Parking Features
Chery’s EXEED Falcon system, powered by WePilot (WeRide and Bosch), achieves Level 2 AD without HD maps. The car features 30 high-performance sensors, including long-range lidar, high-definition cameras, and high-precision millimeter wave radar.
Mercedes-Benz is optimizing automated parking for faster manoeuvring speeds. Automated manoeuvring now parks twice as fast at speeds of up to 4km/h. The feature is standard in the E-Class, S-Class, EQS, EQS SUV, EQE, and EQE SUV.
Autonomous Trucks
Ford Otosan’s Level 4 Highway Pilot is undergoing testing in Turkey, supported by new regulations for autonomous vehicles.
Robotaxi Expansion
WeRide GXR is integrating into Uber’s app and expanding its robotaxi operations to the UAE (2024) and France (2025).
Baidu is scaling in Hong Kong, reinforcing global adoption momentum.
Emerging Use Cases of Autonomous Vehicles
Autonomous Unmanned Sanitation Equipment
WeRide is scaling its Robosweeper from China to Singapore, marking a diversification into non-passenger autonomous applications.
Autonomous Vehicles Regulations
Turkey’s emerging AD regulations and trials aim to position it as an emerging hub for innovation and commercial expansion.
The Turkish Ministry of Industry and Technology has introduced new regulations for autonomous vehicle systems, focusing on certification, technical evaluations and testing procedures, in line with EU standards.
Get deeper analysis of regulations for autonomous vehicles here.
Trend Analysis & Opportunities
Computing Power and Steer-By-Wire Become key Building Blocks
HPC platforms like Nvidia DRIVE ORIN and HPC 2.0 are setting performance benchmarks.
Steer-by-wire further decouple traditional hardware dependencies.
There is an opportunity to invest in high-performance, flexible hardware solutions optimized for SOA to support multiple OEM requirements.
Build a Competitive Moat in AI Software
The integration of IoT, generative AI, and machine learning in ADAS proliferates to enhance functionalities such as predictive maintenance, real-time decision-making, and personalized user experiences.
Partnerships, synergies and supply chain deals are crucial to develop a strong position in modular AI software that leverages cloud platforms for seamless updates and new feature rollouts.
Learn more about the Autonomous Driving Software Stack here.
Exploring Non-HD Map Solutions
A growing number of new ADAS launches do not require HD maps to reduce map maintenance costs and infrastructure dependencies, making them attractive for emerging markets with limited HD map availability.
Diverse, Specialised Use Cases for Unmanned Autonomy
Expand AD offerings to include industrial and municipal applications to diversify revenue streams. Partner with local governments for regulatory alignment.
That’s a wrap!
Stay tuned for next week!
