AI is rapidly becoming central to ADAS, automated driving and SDVs. As these systems grow more sophisticated, auto makers face increasing pressure to demonstrate that they operate safely, reliably and as intended throughout the vehicle lifecycle. Providing this assurance is a major challenge as the industry works to bring increasingly intelligent vehicles to market while meeting evolving regulatory and safety requirements.

Keysight Technologies and the Centre for Assuring Autonomy (CfAA) at the University of York (UK) have announced a research collaboration to advance the safe deployment of artificial intelligence (AI) in software-defined vehicles (SDVs). The collaboration will focus on developing practical methods to validate AI systems and generate the evidence needed to demonstrate their safety and reliability.

Continue reading Keysight and University of York partner on AI safety validation for SDVs at ADAS & Autonomous Vehicle International.

A new AI-based framework called AdvWT, developed by Seoul National University of Science and Technology (SeoulTech), has been used to demonstrate how naturally occurring damage to traffic signs can cause DNN-based vision systems to misclassify them. Testing the model across multiple AI architectures showed attack transferability and physical-world robustness, with researchers stating that training models with AdvWT-generated damaged signs could help identify vulnerabilities and improve AI generalisation to real-world damage.

In computer vision and robotics, ensuring that AI systems remain reliable under real-world conditions is a growing challenge. Deep neural network-based vision systems are increasingly used in safety-critical applications such as autonomous driving, where misinterpreting a traffic sign could potentially lead to unsafe decisions.

Continue reading SeoulTech develops AI framework to assess vision-system robustness at ADAS & Autonomous Vehicle International.

Five AI, part of Bosch Mobility, has announced plans to develop simulation technology aimed at helping automotive manufacturers and suppliers develop autonomous vehicles more safely, quickly and cost-effectively.

Backed by UK government funding through the CAM Pathfinder program, this new technology combines Gaussian scene reconstruction and generative AI techniques to create highly realistic digital representations of real-world environments. The company has been creating and using simulation software for automotive manufacturers since 2015.

Gaussian scene reconstruction converts images captured from the real world into photorealistic 3D environments that can be rendered efficiently in a simulation. It allows developers to recreate roads, junctions and other driving environments with a level of realism that is otherwise difficult to achieve at scale.

Continue reading Gaussian scene reconstruction and AI to be used to accelerate AV simulation at ADAS & Autonomous Vehicle International.

Tier IV has joined the Next-Generation Edge AI Semiconductor Research and Development Program led by the Japan Science and Technology Agency (JST) to advance research and development of a software-defined system-on-chip (SoC) for Level 4 autonomous driving.

Under the JST program, a research team led by Prof. Yoshihiro Kawahara of the Graduate School of Engineering at The University of Tokyo will advance research into use-case-driven, functionally differentiated physical AI chip design. Meanwhile, Tier IV is developing the logic design of an AI chip designed to efficiently process inference for end-to-end (E2E) autonomous driving AI.

“In physical AI applications such as robotics and autonomous driving, GPU power consumption has long been a major bottleneck for deployment on battery-powered devices,” said Prof.

Continue reading Software-defined AI chip project advances Level 4 autonomy at ADAS & Autonomous Vehicle International.

Applied Intuition has launched Dana – an agentic platform for building, testing, deploying and operating physical AI systems. The platform combines agentic AI with Applied Intuition’s software development, testing and engineering tools to provide a unified environment for developing intelligent machines across a range of industries.

“We believe physical AI will become one of the defining technologies of this century,” said Qasar Younis, co-founder and CEO of Applied Intuition. “Our ambition is to help bring intelligence to a billion machines, and Dana is the platform we built to make that possible.”

Unlike general-purpose AI tools designed primarily for digital workflows, Dana is built for the complexities of machines operating in the physical world.

Continue reading Applied Intuition launches Dana agentic platform for physical AI at ADAS & Autonomous Vehicle International.

WeRide has unveiled WeRide WITT (World Intelligence Toward Truth), which it describes as a physical AI cognitive foundation model designed to build AI cognition of the physical world through trusted facts extracted from real-world experience.

Leveraging visual-language model (VLM) capabilities, WeRide WITT has introduced a new concept called Atomic Physical Facts (APFs) and established a fact-based cognitive framework for Physical AI, according to the company. By connecting multimodal information across video, images and text, WeRide WITT decomposes continuously evolving real-world environments into verifiable facts that can be identified, reasoned about and validated, establishing a new generation of AI understanding centered on physical facts, WeRide says.

Continue reading WeRide WITT physical AI cognitive foundation model introduces ‘Atomic Physical Facts’ at ADAS & Autonomous Vehicle International.

From self-driving cars to cities, the next era of mobility will be defined by AI-enabled systems that can perceive, reason and safely act in the physical world. Toyota and Nvidia have partnered to build a future connecting AI across vehicles, infrastructure and industrial operations.

This builds on last year’s announcement that Toyota will develop next-generation vehicles with advanced driver-assistance capabilities (L2++) built on Nvidia Drive AGX and running the safety-certified Nvidia DriveOS operating system.

Nvidia has enabled Toyota to tap into Nvidia accelerated computing, AI software and simulation technologies to develop safer, more intelligent vehicles, optimize automotive engineering workflows, fine-tune factory operations and power urban intelligence systems.

Continue reading Toyota builds AI-defined mobility platform with Nvidia at ADAS & Autonomous Vehicle International.

Physical AI systems must be capable of generalizing across new situations and tasks, applying learned knowledge reliably and safely in unfamiliar conditions. Waabi has announced the results of its zero-shot transfer, marking a significant step toward scalable autonomous vehicle deployment.

Generalization in self-driving takes two distinct forms.

The first is the ability to generalize across environments and behaviors, applying knowledge and skills safely across different operational design domains (ODDs), from highways to dense urban streets, varying traffic patterns, road geometries and driving behaviors. Waabi’s Driver system addresses this through an end-to-end AI approach with reasoning capabilities that, in Q1 2025, it expanded beyond highway operation to complex urban surface streets.

Continue reading Waabi demonstrates zero-shot AI transfer across autonomous truck platforms at ADAS & Autonomous Vehicle International.

Under Euro NCAP’s 2026 protocols, the weighting of driver and occupant monitoring systems on a vehicle’s safety rating has significantly increased, and advanced driver distraction warning (ADDW) will become mandatory for all new vehicles from July 2026 under the EU’s General Safety Regulation. The challenge for OEMs and their suppliers is that these systems must work reliably across a vast range of real-world conditions and testing them physically is slow, expensive and limited in scope.

To address this, rFpro has launched the AV Elevate In Cabin add-on package, which enables automotive OEMs, Tier 1s and sensor developers to tune, train and test driver and occupant monitoring systems in simulation to improve the speed and consistency of in-cabin testing.

Continue reading rFpro launches AV Elevate In Cabin driver and occupant monitoring simulation tool at ADAS & Autonomous Vehicle International.

A new report on public attitudes in Europe about the use of artificial intelligence in vehicles has revealed that drivers have a high familiarity with AI and frequently use AI-enabled ADAS features but that they are reluctant to give full control of the vehicle to autonomous systems – and that drivers in the UK are the msot skeptical of full autonomy.

Chinese auto maker Xpeng commissioned independent research agency Improof Research to conduct a quantitative study of public attitudes toward artificial intelligence and physical AI across six European countries, alongside a reference sample from major Chinese cities. The survey fieldwork was carried out between May 1 and 14, 2026.

Continue reading Research finds UK drivers draw a firm line between assistance and autonomy at ADAS & Autonomous Vehicle International.