UNIT.City — місце, де люди працюють... КРАЩЕ! Обирай свій простір просто зараз 👉
Олег ОнопрієнкоHot News
13 June 2025, 08:03
2025-06-13
Nvidia introduced a platform for self-driving cars, which is already used by Mercedes-Benz and Volvo
DRIVE AV combines AI, cloud simulations, and in-car computing to accelerate the arrival of safe, self-driving vehicles on the road. NVIDIA offers manufacturers a full stack, from model training to real-time traffic planning and vehicle control.
DRIVE AV combines AI, cloud simulations, and in-car computing to accelerate the arrival of safe, self-driving vehicles on the road. NVIDIA offers manufacturers a full stack, from model training to real-time traffic planning and vehicle control.
At GTC Paris, the chipmaker announced that its full-featured NVIDIA DRIVE AV software platform is now fully operational, the company said on its official website.
NVIDIA DRIVE AV is essentially an intelligent computer program that acts as the “brain” for autonomous cars. This “brain” allows the car to “see” the world around it using cameras, radar, and other sensors, then understand it, predict the actions of others, and make decisions about how to proceed.
Nvidia says the platform is very flexible, so companies can choose exactly what features they need — whether it’s a full suite for a fully autonomous car or just specific features like parking assistance. Nvidia’s software also allows the car to constantly “learn” and improve by receiving data from sensors in real time and through “on-the-fly” updates, like any modern smartphone.
Using NVIDIA DRIVE will enable automakers to implement advanced driver assistance features, such as surround perception, automatic lane changing, parking, and active safety, into vehicles.
Many well-known automakers, such as Mercedes-Benz or Volvo, are already using or planning to use this technology in their future cars.
Complementing Nvidia’s full stack of comprehensive AV software is a three-computer solution that spans the entire AV development process and is designed to address the challenges of safely deploying autonomous vehicles at scale. The three computers include:
NVIDIA DGX systems and GPUs for training artificial intelligence models and developing software for autonomous vehicles,
NVIDIA Omniverse and NVIDIA Cosmos platforms running on NVIDIA OVX systems for modeling and synthetic data generation, enabling testing and validation of autonomous driving scenarios and optimizing smart factories,
NVIDIA DRIVE AGX automotive on-board computer for real-time sensor data processing, enabling safe, highly automated, and autonomous driving.
NVIDIA CEO Jensen Huang predicts that the global autonomous vehicle and robotics industry will experience significant growth in the next few years.
"This will be the decade of autonomous vehicles, robotics, autonomous cars," Huang said in an interview with CNBC at the VivaTech conference in Paris on Thursday.
Earlier at the same conference, Jensen Huang shared Nvidia's plans to build the first cloud-based artificial intelligence platform for industrial applications in Germany, and also announced plans to expand technology centers in seven countries.
NVIDIA has introduced advanced software for autonomous vehicles, focusing on AI-powered driving systems, real-time data processing, and modular integration for automakers. The platform supports various autonomy levels and includes over-the-air updates. For related developments and automotive news, visit: https://www.gari.pk/news/.
NVIDIA has introduced advanced software for autonomous vehicles, focusing on AI-powered driving systems, real-time data processing, and modular integration for automakers. The platform supports various autonomy levels and includes over-the-air updates. For related developments and automotive news, visit: https://www.gari.pk/news/.