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.

New York City Department of Transportation (NYC DOT) commissioner Mike Flynn has announced the use of Viva’s new sensors to better understand how New Yorkers use their streets and to inform safer street design.

First piloted in 2023, these small, privacy-protective smart traffic monitoring sensors count pedestrians, cyclists, buses and vehicles to assess patterns in how people use the streets. Sensors will be installed at approximately 80 additional locations across the five boroughs to accelerate data-driven street safety improvements.

“Safer street design starts with understanding what is actually happening on the street,” said Flynn. “These high-tech sensors will help us evaluate how people are walking, biking and driving so we can design safer streets and encourage safer behavior.”

Building on the successful pilot, NYC DOT will this year scale up a technology that has already transformed how the agency measures traffic activity.

Continue reading NYC uses smart sensors to better understand street activity at ADAS & Autonomous Vehicle International.

UK-based developer of GNSS-enhancing software Focal Point Positioning has announced Precise+, a technology that it says delivers reliable high-precision positioning in tough environments where conventional carrier phase tracking fails.

Centimeter-level positioning depends on continuous carrier phase lock. When that lock is interrupted – a routine occurrence in dense cities, under tree cover and in multipath-heavy environments – receivers suffer cycle slips and force the system to reinitialize. For advanced driver assistance systems (ADAS), automated driving and robotics, these interruptions are the defining barrier to deployment at scale.

According to the company, Precise+ uses Focal Point’s Supercorrelation for precise global navigation satellite system (GNSS) positioning, improving performance in challenging environments: sub-meter performance in conditions where commercial receivers with live corrections deliver multimeter errors.

Continue reading Focal Point Positioning introduces Precise+ GNSS positioning technology at ADAS & Autonomous Vehicle International.

Simulation software specialist rFpro has launched an engineering-grade digital twin of Japan’s Hakone Turnpike. The 15km toll road, which climbs through the forested mountains of Kanagawa Prefecture, is widely used by Japanese vehicle manufacturers for vehicle dynamics development. The model is commercially available and has already been adopted by a major Japanese OEM.

“Vehicle manufacturers are being asked to bring new models to market faster, at lower cost and with more variants than ever, and the only way to do that is to move more of their development work into simulation,” said Catherine Wood, head of content at rFpro.

Continue reading rFpro develops Japanese test route digital twin for virtual vehicle development at ADAS & Autonomous Vehicle International.

Ouster has announced that its latest Rev8 OS family of digital lidar sensors is qualified to run on the Nvidia Drive Hyperion platform to accelerate the development and deployment of Level 4 autonomous vehicles.

Rev8 sensor compatibility with Nvidia Drive Hyperion

Ouster pairs hardware readiness with full-stack software compatibility, featuring optimized plug-ins for its entire sensor portfolio within the Nvidia DriveWorks SDK. By bridging these layers, its high-density point clouds can be ingested directly into Nvidia’s hardware-accelerated software stack, providing automotive developers with a streamlined path from initial development to full-scale deployment.

Longer-range, native-color sensors for high-speed autonomy

Featuring what Ouster describes as the world’s first native-color lidar, Rev8 reportedly provides the high-quality data necessary to train next-generation world models and enable safer autonomous navigation at scale.

Continue reading Native-color Rev8 lidar from Ouster targets Level 4 AV development at ADAS & Autonomous Vehicle International.