AVL Mobility Technologies, Inc. has joined forces with Ansible Motion to integrate its AVL VSM software with Ansible Motion’s Driver-in-the-Loop simulators. This combination accelerates virtual development, allowing automotive manufacturers and suppliers to significantly cut down on both the time and expense associated with testing and validation.

The AVL VSM platform serves as a versatile real-time simulation tool capable of modelling individual components, entire systems and full vehicles. It enables engineers to evaluate vehicle dynamics and safety under realistic conditions while considering how various attributes and systems interact. This supports a more cohesive approach to optimising vehicle characteristics early in the design process. When paired with an Ansible Motion simulator, users can conduct virtual test drives to refine chassis dynamics, powertrain behaviour and advanced driver assistance systems.

To demonstrate this integrated solution, AVL has installed an Ansible Motion Theta Seat simulator at its Ann Arbor, Michigan, Technical Centre. This setup allows customers to experience the combined VSM and simulator capability firsthand. The impact is amplified when leveraged alongside AVL’s existing Software-in-the-Loop, Hardware-in-the-Loop and Virtual Test Bed technologies within the facility’s Advanced Mobility & Simulation Lab, enabling a seamless transition from virtual models to further development.

Gary Newton, Vice President – Business Development, AVL, said, "By combining AVL VSM with Ansible Motion Driver-in-the-Loop simulators, manufacturers can move critical decisions to the front of the development cycle, dramatically reducing physical prototypes and test iterations. This tool combination can have an enormous impact on timeline and budget. Imagine validating 70+ track scenarios per day in multiple conditions, surfaces and drive events. The result isn’t incremental improvement; it’s months saved and millions preserved."

Salman Safdar, Business Development Director, Ansible Motion, said, "Through our continuing collaborative efforts with AVL, we’re developing new ways to conduct subjective and objective evaluations of qualified concepts much earlier in the vehicle design cycle. Connecting our simulators seamlessly with a feature-rich simulation environment like AVL VSM elevates the virtual vehicle development process for manufacturers seeking to shorten development times, realise cost savings and reduce environmental impacts."

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German technology company AUMOVIO has been awarded the Microsoft Intelligent Manufacturing Award (MIMA) in the ‘Innovate!’ category for its internally developed AI Hub.

The platform, recognised by Microsoft Germany and Roland Berger, integrates artificial intelligence into industrial workflows to assist with tasks ranging from code optimisation to predictive maintenance.

The AI Hub functions as a centralised system that allows employees to deploy and create specialised AI agents. These agents automate routine activities and provide decision-making support across various corporate functions.

Current deployments and use cases include:

• Software Engineering: Monitoring compliance with internal coding standards and guidelines.
• Procurement: Analysis and assessment of commercial contracts.
• Manufacturing: Diagnostic support for maintenance teams to identify technical failures.
• Scale: Over 1,500 AI agents are currently active, serving 21,000 employees globally.

The system integrates with standard office software and engineering tools. It features a built-in code interpreter for dataset analysis and utilises standardised protocols to interact securely with internal applications.

AUMOVIO developed the platform in-house, transitioning from a proof of concept to a company-wide rollout in under 18 months. This internal approach allows the company to maintain control over system architecture, data protection and the integration of emerging AI technologies into industrial environments.

Recent updates to the platform include secure access to local machines and internal servers, enabling agents to provide closer support for daily operations.

Jean-François Tarabbia, Member of the Executive Board and Head of Architecture and Network Solutions, AUMOVIO, said, "Artificial intelligence is fundamentally changing how industrial companies operate. With the AUMOVIO AI Hub, we have created a platform that brings AI directly into our employees’ daily workflows. By combining advanced AI capabilities with deep industrial expertise, we enable our teams worldwide to access relevant information faster, handle complexity more efficiently, and automate routine tasks to create more room for innovation."

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Israel-based autonomous software technology company Mobileye has announced that a US automaker will integrate the Mobileye Driver Monitoring System (DMS) into its future vehicle models.

The programme utilises the EyeQ6L system-on-chip (SoC), with production scheduled to commence in 2027. The agreement expands an existing Advanced Driver Assistance Systems (ADAS) partnership and is expected to encompass millions of vehicles.

The platform unifies interior sensing, including DMS and Occupant Monitoring (OMS), with exterior road perception on a single chip. This integration allows the system to evaluate driver engagement by correlating eye gaze with real-world road conditions.

Key technical objectives include:

• Hardware Consolidation: Running driver monitoring and ADAS perception on one SoC to eliminate the requirement for a separate Electronic Control Unit (ECU).
• Contextual Awareness: Distinguishing between general distraction and active driver engagement by monitoring whether attention corresponds with specific road events.
• Alert Precision: Reducing false alerts and refining takeover requests for higher levels of vehicle autonomy.

The system is designed to meet Euro NCAP 2026 scoring requirements and prepare for the Euro NCAP 2029 protocol, which is anticipated to shift the industry benchmark from basic eye tracking to detection of meaningful engagement.

Nimrod Nehushtan, EVP of Business Development and Strategy, Mobileye, said, “The next generation of intelligent driving demands richer context from every part of the vehicle – the road ahead, the cabin, and the interplay between them. At the same time, automakers are looking to scale advanced driving features across their lineups without the cost penalty of additional hardware or complex system integration. Mobileye DMS delivers on both – running context-aware driver monitoring on a single ADAS chip and ECU platform. This combination is something Mobileye is uniquely positioned for, and we look forward to helping our customers deploy at scale.”

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The Centre of Excellence in Advanced Automotive Research (CAAR) at IIT Madras, in partnership with the Tamil Nadu Industrial Development Corporation (TIDCO), is establishing the Advanced Automotive Translational Research Centre (AATRC). The facility will be located at the Tamil Nadu Knowledge City in Tiruvallur.

The project involves an investment of around INR 2 billion over the next five years. The centre will occupy 40,000 sqft of research and laboratory infrastructure dedicated to translational research and product development for next-generation automotive technologies.

Technical focus areas for the AATRC include:

• Powertrains and Electronics: Electric powertrains and automotive power electronics.
• Energy Storage: Battery technologies and electric vehicle (EV) charging systems.
• Digital Architecture: Software-defined vehicles and industry-ready innovation.

According to data released by IIT Madras, the initiative expects to achieve several benchmarks within its first five years of operation:

• Product Innovation: Development of 40–50 automotive products.
• Enterprise Support: Provision of testing and validation infrastructure for 150–200 start-ups and MSMEs.
• Employment: Creation of 50–70 high-skill direct jobs and approximately 2,100 ecosystem-linked employment opportunities.

The collaboration follows a Memorandum of Understanding (MoU) signed between the State government and IIT Madras in January, aimed at positioning India as a hub for EV and automotive technology.

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Chinese technology company Hesai Technology has joined the Nvidia Halos AI Systems Inspection Lab, an accredited body for the inspection of AI-driven physical systems. As a member, Hesai will validate its lidar platforms within a framework covering functional safety, cybersecurity and AI compliance.

Nvidia Halos is a safety system for physical AI that unifies safety elements across vehicle and robotics architectures. The system combines hardware, software and models to safeguard autonomous vehicle (AV) and robotics stacks.

Hesai utilises a ‘Safety Triad’ engineering approach, which integrates:

• Functional Safety: Adherence to ISO 26262 standards.
• Safety of the Intended Functionality (SOTIF): Managing risks from functional inadequacies.
• Cybersecurity: Protecting system integrity across real-world environments.

The company claims that Hesai was the first LiDAR manufacturer to obtain ISO 26262 ASIL B certification and currently participates in global safety standard development alongside firms including Bosch, Nissan and ZF.

The collaboration between Hesai and Nvidia began in 2019 with the integration of LiDAR into Nvidia autonomous computing platforms. Hesai has delivered over 2 million LiDAR units globally to date.

The company was recently selected as a lidar partner for Nvidia DRIVE AGX Hyperion 10, a reference architecture designed to make vehicles Level 4-ready. This platform enables the development of AI-defined fleets for automakers and developers.

David Li, Co-Founder and CEO, Hesai Technology, said, “Autonomous systems will only achieve broad adoption if they meet the highest standards of safety and reliability. As autonomous vehicles and intelligent machines move toward large-scale deployment, safety becomes the defining requirement for the entire system.”

“Our work with Nvidia began several years ago with the integration of Hesai LiDAR on Nvidia autonomous computing platforms. Lidar is often the primary sensor responsible for detecting hazards in the most critical situations on the road. Joining the Nvidia Halos ecosystem allows us to further strengthen the safety architecture required to bring trusted autonomous technology into everyday use,” he said.

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