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.

Pirelli and Univrses have announced that they have signed an agreement for the integration of the Swedish deep tech specialist’s AI‑based computer vision 3DAI technologies into the tier maker’s Cyber Tyre system. Pirelli has also acquired a 30% stake in Univrses.

The combination of the technologies developed by Univrses and Pirelli will deliver vehicles that are “safer and more performant”, the companies said, with potential applications in ADAS and autonomous driving systems. The solution will also deliver timely, relevant and actionable data, for a range of road management use cases. Insights will enable road authorities to make better decisions and deploy resources more effectively, potentially reducing road-related accidents and saving lives.

Continue reading Univrses AI technology integrated into Pirelli Cyber Tyre platform at ADAS & Autonomous Vehicle International.

In the AI-native era, large language models (LLMs) are reshaping in-vehicle interaction. Traditional single-command systems are giving way to more advanced approaches that enable contextual understanding, prediction and cross-scenario coordination. Natural voice interaction with continuous conversation flow and long-term memory is emerging as a key development to improve the in-car user experience.

Neusoft Corporation and AISpeech have signed a memorandum of cooperation (MoC) to jointly develop an AI-powered mobility companion featuring natural conversation and proactive intelligence for the global market, by integrating AISpeech’s cutting-edge AI voice interaction technologies into Neusoft’s recently launched OneCoreGo Global In-Vehicle Intelligent Mobility Solution 7.0.

Continue reading Neusoft and AISpeech partner on AI-powered in-vehicle mobility companion using LLM technology at ADAS & Autonomous Vehicle International.

Pony.ai has begun using a new autonomous driving domain controller – a high-performance compute system designed for Pony.ai’s L4 autonomous driving platform and also a broader set of customer applications across autonomous mobility. Developed in collaboration with Nvidia, the new controller is built on the Nvidia Drive Hyperion platform and powered by Nvidia Drive AGX Thor with Nvidia NVLink, supporting Pony.ai’s next phase of commercialization in robotaxis and its growing domain controller business.

The new system is designed to deliver significant gains in AI computing performance, energy efficiency and support for the latest AI models, while meeting core L4 requirements such as multisensor fusion, full-scenario perception and high-complexity scenario understanding.

Continue reading Pony.ai debuts new autonomous driving compute platform at ADAS & Autonomous Vehicle International.

AAVI catches up with Pony.ai’s founder and CTO, Tiancheng Lou, following the company’s recent launch of PonyWorld 2.0, the latest upgrade to its proprietary world model and a major advance in the core training system behind its autonomous driving stack.

After validating the unit economics of robotaxi operations in two major metropolitan markets in China with its seventh-generation robotaxi fleet, Pony.ai is keen to speed commercialization across China and beyond. It is targeting a fleet of more than 3,000 vehicles by the end of this year, with deployments spanning 20 cities globally. Nearly half of those cities will be in overseas markets.

Continue reading INTERVIEW: Tiancheng Lou, founder and CTO, Pony.ai on PonyWorld 2.0 at ADAS & Autonomous Vehicle International.