Daimler and Bosch have chosen NVIDIA Drive Pegasus AI supercomputer to power their robotaxis, which are expected to start testing in Silicon Valley next year.
A number of self-driving cars sporting NVIDIA’s autonomous driving technologies were present at GPU Technology Conference in San Jose this week. However, none was available for a test drive — a sensible move by NVIDIA in the light of the fatal Uber self-driving car accident the week before.
A 49-year-old woman has become the first pedestrian to be killed by an autonomous vehicle.
China carmaker Chery has adopted the new ZP ProAI system, powered by NVIDIA Drive AI self-driving technology, for its autonomous vehicles. The move will bring Level 3 autonomous driving to the world’s biggest auto market.
NVIDIA is among a group of investors led by Chinese social media company Sina investing more than US$20 million in Chinese startup TuSimple.
Formed in 2015, TuSimple has more than 100 employees in R&D centres in Beijing and San Diego developing technology for autonomous long-distance freight delivery. It uses NVIDIA GPUs, NVIDIA DRIVE PX 2, Jetson TX2, CUDA, TensorRT, and cuDNN to develop its autonomous driving solution.
In June, the company successfully completed a 200-mile Level 4 test drive from San Diego to Yuma, Arizona, using NVIDIA GPUs and cameras as the primary sensor.
Shanghai and Singapore are among the world’s top four cities that are ready for autonomous vehicles, according to Canalys.
San Francisco is out in front while London is also among the top four. These rise to the top of a group of cities that, due to their size and populations, have some of the most complex transport networks in the world. The top four have a high need for autonomous vehicles to revolutionise their transport systems, combined with the ability to make it happen.
“Naturally, San Francisco leads the way and is the city best able to implement autonomous vehicles. The Bay Area is renowned as the world’s AV testing capital,” said Chris Jones, Chief Analyst of Canalys.
Toyota, one of the world’s largest automakers and renowned for its high standards and priority on safety, has picked NVIDIA Drive PX for its autonomous vehicles. It will use the AI car computer platform to power advanced autonomous driving systems planned for market introduction within the next few years
Engineering teams from the two companies are already developing sophisticated software that will enhance the capabilities of Toyota vehicles, enabling them to better understand the massive volume of data generated by sensors on the car, and to handle the broad spectrum of autonomous driving situations.
“Toyota has worked on autonomous driving technologies for over 20 years with the aim of reducing traffic fatalities to zero as an ultimate goal, achieving smoother traffic, and providing mobility for all. Through this collaboration, we intend to accelerate the development of autonomous driving systems that are even more safe and capable,” said Ken Koibuchi, Executive General Manager of Toyota.
NVIDIA has unveiled a palm-sized, energy-efficient artificial intelligence (AI) computer that car makers can use to power automated and autonomous vehicles for driving and mapping.
The new single-processor configuration of the NVIDIA DRIVE PX 2 AI computing platform for AutoCruise functions — which include highway automated driving and HD mapping — consumes just 10 watts of power and enables vehicles to use deep neural networks to process data from multiple cameras and sensors. It will be deployed by China’s Baidu as the in-vehicle car computer for its self-driving cloud-to-car system.
DRIVE PX 2 enables car makers and their tier 1 suppliers to accelerate production of automated and autonomous vehicles. A car using the small form-factor DRIVE PX 2 for AutoCruise can understand in real time what is happening around it, precisely locate itself on an HD map and plan a safe path forward.