Mercedes-Benz is marking 140 years of automotive innovation with a new S-Class built for the AI era, bringing together automotive safety and NVIDIA’s advanced autonomous driving platform to enable a...
AI-powered driver assistance technologies are becoming standard equipment, fundamentally changing how vehicle safety is assessed and validated. The recent recognition of the Mercedes-Benz CLA as Euro NCAP’s Best Performer of...
At the CES trade show running this week in Las Vegas, NVIDIA announced that the global DRIVE Hyperion ecosystem is expanding to include tier 1 suppliers, automotive integrators and sensor...
NVIDIA is enabling a new era of AI-defined driving, bringing its NVIDIA DRIVE AV software with enhanced level 2 point-to-point driver assistance capabilities to U.S. roads, expected by end of...
When the Society of Automotive Engineers established its framework for vehicle autonomy in 2014, it created the industry-standard roadmap for self-driving technology. The levels of automation progress from level 1...
At this week’s IAA Mobility conference in Munich, NVIDIA Vice President of Automotive Ali Kani outlined how cloud-to-car AI platforms are bringing new levels of safety, intelligence and trust to...
As autonomous vehicle systems rapidly grow in complexity, equipped with reasoning vision language action models, generative AI and advanced sensor technologies, developers need tools that are powerful, efficient and built...
Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing....
NVIDIA is launching a comprehensive, industry-defining autonomous vehicle (AV) software platform to accelerate large-scale deployment of safe, intelligent transportation innovations for automakers, truck manufacturers, robotaxi companies and startups worldwide. Announced...
Autonomous vehicle (AV) stacks are evolving from many distinct models to a unified, end-to-end architecture that executes driving actions directly from sensor data. This transition to using larger models is...
