Continental has announced a minor investment in LiDAR pioneer AEye, which is based in Dublin, USA. By partnering with AEye, Continental complements its existing short-range 3D Flash LiDAR technology, which goes into series production later this year, supporting highly automated driving in a global premium vehicle program. 

AEye has developed a long-range LiDAR technology combining an amplifiable 1550nm laser with patented feedback-controlled Microelectromechanical System (MEMS) scanner. This technology can be configured via software and thus be optimized for manufacturers vehicle and applications. The AEye LiDAR offers maximum leverage for passenger and commercial vehicle applications because it combines a high dynamic spatial resolution with a long-range detection. Vehicles can be detected at a distance of more than 300 meters and pedestrians at a distance of more than 200 meters. AEye’s ability to detect small, low-reflective objects, such as bricks, at a distance of 160 meters with multiple measuring points is pivotal for Automated Driving in both passenger cars and commercial vehicles. Continental will utilize this LiDAR technology and industrialize the sensor to deliver a fully automotive-grade product. The first series production is currently scheduled for the end of 2024. Continental’s High-Resolution 3D Flash LiDAR (HFL) is said to be the first high-resolution solid-state LiDAR sensor to go into series production in the automotive market worldwide.

Automated vehicles capable of AD SAE level 3 or higher require a sensor setup that includes camera, radar and LiDAR to detect objects and usable trajectories around the vehicle. LiDAR sensors offer the strength of robust 3D pixel level detection at high resolution. Continental uses tailored automotive-grade LiDAR technology for both short- and long-range sensing. For the short range, 3D Flash LiDAR technology offers 3D pixel images very quickly and precisely by illuminating and capturing an entire scene in one pulse per frame of data (global shutter technology). For a robust detection of objects at long-range distances, 1550nm agile LiDAR technology provides a proven combination of software configurable HD resolution of over 1600 points per square degree and detection ranges beyond 300 meters. The patented MEMS-based design of AEye’s LiDAR provides tremendous solid-state reliability, while also delivering uncompromising performance under adverse weather and road conditions.

Frank Petznick, head of the Advanced Driver Assistance Systems (ADAS) business unit at Continental said, “We now have optimum short-range and world-class long-range LiDAR technologies with their complimentary set of benefits under one roof. This puts us in a strong position to cover the full vehicle environment with state-of-the-art LiDAR sensor technology and to facilitate Automated Driving at SAE levels 3 or higher in both passenger cars and commercial vehicle applications.”

Blair LaCorte, CEO of AEye said, “ADAS solutions require a unique mix of performance, scalability, packaging, and a long-term commitment to reliability and safety. Continental is a recognized leader in automotive sensing technology as well as in automotive product industrialization and commercialization. We look forward to working closely with their team to customize our modular and scalable design to deliver Continentals high-performance long-range LiDAR systems to the world’s leading vehicle manufacturers.”

Commercial vehicles with their large mass and longer stopping distance face special challenges to enable safe automated driving. Automation for these vehicles will require a maximum sensor range and resolution to ensure sufficient processing time for automated decisions and actions.

Comments (0)

ADD COMMENT

Link Copied!

Wayve, NVIDIA and Stellantis have announced a joint collaboration alongside the French government at the Assises du Véhicule Autonome to support the deployment of autonomous vehicles in France and across the European Union.

The initiative combines Stellantis’ L4-Ready Platforms with the Wayve AI Driver system, integrating NVIDIA Halos OS on the NVIDIA Hyperion compute and sensor architecture. The collaboration aims to establish an autonomous vehicle value chain in France, spanning silicon development, software integration and vehicle manufacturing.

Local transport partners will engage with trade unions, municipal authorities, and mobility stakeholders to address regulatory alignment, safety requirements, and operational deployment.

Philippe Tabarot, French Minister of Transports, said, "I am pleased to see this collaboration between Wayve, NVIDIA and Stellantis launched at the Autonomous Vehicle Forum in France. France is committed to adapting its regulatory framework to accelerate the development of autonomous vehicles while maintaining strict safety and data sovereignty requirements. By bringing together trade unions, city authorities, and mobility stakeholders, this collaboration embodies the collaborative spirit of the Assises du Véhicule Autonome, as well as the approach required to transition from trials to real-world deployment."

Kaity Fischer, VP Autonomous Mobility & Operations, Wayve, said, "France is leading the way in preparing for autonomous vehicles, and we’re proud to enter this collaboration at such an important moment. By working directly with the French Government and our partners, we can help shape how this technology is deployed safely and responsibly and accelerate its development across the country and entire EU."

Anne Laliron, SVP of Technology Research, Stellantis, said, "This collaboration will help accelerate the delivery of autonomous driving technologies that make mobility safer and more convenient for customers. While its impact is global, France is one of Stellantis’ key centres for engineering and technology development, making it a natural home for advancing the future of AI-powered mobility."

Ali Kani, VP of Automotive, NVIDIA, said, "Bringing safe autonomous mobility to Europe requires deep collaboration across AI, computing and vehicle engineering. NVIDIA Hyperion platform, combined with Wayve’s embodied AI and Stellantis’ automotive expertise, provides a foundation for that ambition. Together with the French Government and local partners, we can help build an ecosystem that brings the benefits of autonomous driving to communities across France and Europe."

Comments (0)

ADD COMMENT

Link Copied!

German luxury carmaker Audi has introduced third-generation digital OLED rear lighting technology on the Q91, marking the production debut of three-dimensionally curved digital OLED panels in the automotive industry.

The lighting system incorporates carrier glass measuring 0.1 millimetres in thickness, allowing a bend radius of up to 200 millimetres to match the vehicle's body contours. The Q91 uses six digital OLED panels housing 512 individual segments, including an outer curved panel with 99 segments.

The curved positioning extends light visibility to wider lateral angles and incorporates warning symbols within the communication light system to alert surrounding traffic to breakdowns, emergency braking or accidents. Up to eight digital light signatures are available across static, active and semi-active display settings.

The vehicle also features digital Matrix LED headlights utilising a 13-millimetre micro-LED module containing 25,600 individual micro-LEDs. The headlight system projects high-resolution lane lighting, orientation paths and dynamic turn signal graphics directly onto the road surface to assist lane centring and indicate directional changes to pedestrians and other vehicles.

Audi first introduced OLED technology on the TT RS in 2016, followed by segmented digital OLEDs on the Q5 in 2020 and second-generation panels on the Q6 e-tron in 2024.

Stefan Berlitz, Head of Lighting Development at AUDI AG, said, "At Audi, light means safety first and foremost – seeing and being seen. Digitalisation opens up entirely new possibilities for further enhancing road safety. The curved digital OLED technology in the Audi Q91 impressively demonstrates this technology’s potential. It combines design freedom, personalization, and communication with the vehicle’s surroundings at a new level. Our vision is to gradually transform light into an intelligent means of communication that makes interaction between the vehicle and its surroundings even safer and more intuitive."

Comments (0)

ADD COMMENT

Link Copied!

European ride-hailing platform Bolt has selected the NVIDIA Alpamayo Stack autonomous driving software to operate its vehicle fleet in Europe, starting with Lucid automobiles.

The deployment commences in Madrid in 2027, with subsequent deployment planned in Germany and France. The initiative supports the integration of at least 25,000 Level 4-ready Lucid vehicles equipped with NVIDIA Hyperion compute and sensor architecture. The program contributes to Bolt's objective of deploying 100,000 autonomous vehicles across Europe and the UNECE region by 2035. The system integrates reasoning artificial intelligence with perception and planning modules alongside NVIDIA Halos safety controls.

Jevgeni Kabanov, President and Head of Autonomous Driving, Bolt, said, “Autonomous driving will change how people move around cities, and Europe should play a major role in how that future is built. Our ambition isn't to bring autonomous driving to just a handful of cities. We want to make autonomous ride-hailing available at scale across Europe, with 100,000 vehicles on our platform by 2035. We're bringing together some of the best technologies in the world to make that possible. Following our first autonomous mobility launch in Luxembourg, our next step with NVIDIA and Lucid is to begin a programme in Madrid in 2027. The Region of Madrid is pioneering a structured framework for commercial autonomous mobility in coordination with national authorities. Germany will also be a priority for what comes next, with cities already setting out clear ambitions for autonomous mobility.”

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, “Robotaxis will scale when every vehicle is built on a common, safety-engineered foundation. NVIDIA Hyperion standardises the compute and sensor architecture across vehicle platforms, while NVIDIA Alpamayo Stack and Halos provide the driving intelligence and safety foundation. Bolt’s European platform, operational experience and work with cities and regulators make it a strong partner to bring autonomous ride-hailing to market at scale in Europe.”

Comments (0)

ADD COMMENT

Link Copied!

French tier 1 supplier Valeo has announced plans to develop and industrialise high-performance compute platforms utilising the NVIDIA Hyperion reference architecture and NVIDIA Halos safety system.

The initiative combines Valeo's vehicle integration capabilities with centralised computing architectures to support software-defined mobility systems. The platform utilises the NVIDIA DRIVE AGX Thor architecture to deliver processing performance and redundancy for Level 4 autonomous driving, commercial trucking and robotaxi applications. The development framework enables automakers to integrate features and deploy autonomous technologies across vehicle models.

Marc Vrecko, Chief Executive Officer, Valeo Brain Division, said, "Our work with NVIDIA marks a significant milestone in our mission to make autonomous driving a safe, scalable reality. By seamlessly integrating NVIDIA’s advanced compute power into our next-generation platforms, we are delivering the flexible, centralised intelligence vehicle manufacturers require to redefine the driving experience and meet the evolving demands of tomorrow’s intelligent vehicles."

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, "Valeo’s expertise in high-performance computing, vehicle integration and automotive-scale industrialisation will help automakers adopt NVIDIA Hyperion and NVIDIA Halos at production scale. Together, NVIDIA and Valeo are providing the AI performance, functional safety and scalability needed to accelerate the development of Level 4 autonomous vehicles and robotaxis."

Comments (0)

ADD COMMENT

Link Copied!