Continental, the Germany-based technology company and Xilinx, the US-based semiconductor manufacturing company have announced the new Advanced Radar Sensor (ARS) 540 with the Zynq UltraScale+ MPSoC platform. This is said to be the automotive industry’s first production-ready 4D imaging radar. The collaboration enables newly-produced vehicles equipped with the ARS540 to realize SAE J3016 Level 2 functionalities and will pave the way toward Level 5 autonomous driving systems. 

4D imaging radar determines an object’s location in range, azimuth, elevation, and relative speed to provide detailed information about the driving environment not provided by earlier automotive radar systems that capture only speed and azimuth. Continental’s ARS540 is a premium, long-range 4D imaging radar with high resolution and 300-meter range. Its wide, ± 60° field-of-view enables multi-hypothesis tracking for precise prediction while driving, which is critical for managing complex driving scenarios, such as the detection of a traffic jam under a bridge. In addition, the ARS540 system’s high horizontal and vertical resolution enables detection of potentially hazardous objects on the road and responds appropriately. By supporting SAE Level 2 where the human driver is responsible for supervising vehicle control, and extending to fully autonomous Level 5, the ARS540 showcases the scalable usage of the sensor.

The Xilinx Automotive (XA) Zynq UltraScale+ MPSoC is an adaptable platform that allows Continental’s 4D imaging radar to be agnostic to multiple sensor-platform configurations and adapt to OEM specification. Parallel processing within the device’s programmable logic delivers optimal performance and enables the fully independent, yet simultaneous processing pipelines that are critical to the ARS540’s 4D sensing. The many digital signal processing (DSP) slices enable hardware acceleration of real-time radar sensor inputs.

Norbert Hammerschmidt, head of program management radar at Continental said, “The Xilinx Zynq UltraScale+ MPSoC platform delivers the high performance and advanced DSP capabilities we needed to realize the ARS540, combined with adaptability and a market-leading selection of network interfaces capable of handling the wide array of antenna data at extremely high aggregate transfer rates. Continental recently won designs with leading European and US OEMs and is in ongoing discussions with additional OEMs worldwide regarding the ARS540. We are very proud to continue our long-standing partnership with Xilinx and to now provide the market with a technology that has the potential to save lives.”

Cédric Malaquin, Technology & Market Analyst, RF Devices & Technology at Yole Développement (Yole), commented, “4D imaging radar provides greater range, field of view, and perception and is a critical sensor enabling Level 2 to Level 5 developers to deliver systems that help create a safer driving environment. We expect 4D imaging radar to take place in luxury cars and Robotaxis at first, leading to over US$550 million, a rise at a compound annual growth rate (CAGR) of 124% between 2020 and 2025. Xilinx and Continental, two innovative market leaders have an excellent opportunity by teaming up to develop this new sensing modality.”

Willard Tu, Senior Director of Automotive at Xilinx, added, “We are extremely pleased to be powering the industry’s first production-ready 4D imaging radar. The sophisticated features in Continental’s ARS540 accelerate the wider adoption of autonomous driving by bringing this advanced technology into passenger-owned vehicles. The combination of Continental’s heritage in radar and Xilinx’s legacy in adaptable silicon make this a very powerful offering.”
 

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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."

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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."

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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.”

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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."

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