With the vision to enable self-driving vehicles, reducing fatalities to zero, enabling smoother transportation, and providing mobility for all, Toyota Research Institute-Advanced Development (TRI-AD) and NVIDIA have announced a new collaboration to develop, train and validate self-driving vehicles.
The partnership builds on an ongoing relationship with Toyota to utilize the NVIDIA DRIVE AGX Xavier™ AV computer and is based on close development between teams from NVIDIA, TRI-AD in Japan and Toyota Research Institute (TRI) in the United States.
The broad partnership includes advancements in:
- AI computing infrastructure using NVIDIA GPUs
AI, and specifically deep learning, has become a vital tool for the production of next-generation automated vehicles, particularly because of the need to recognize and handle the nearly infinite number of scenarios encountered on the road.
- Simulation using the NVIDIA DRIVE Constellation™ platform
Simulation has proven to be a valuable tool for testing and validating AV hardware and software before it is put on the road. As part of the collaboration, TRI-AD and TRI are utilizing the NVIDIA DRIVE Constellation platform for components of their simulation workflow.
DRIVE Constellation is a data center solution, comprising two side-by-side servers. The first server — Constellation Simulator — uses NVIDIA GPUs running DRIVE Sim™ software to generate the sensor output from a virtual car driving in a realistic virtual world. The second server — Constellation Vehicle — contains the DRIVE AGX car computer, which processes the simulated sensor data. The driving decisions from Constellation Vehicle are fed back into Constellation Simulator, aiming to realize bit-accurate, timing-accurate hardware-in-the-loop testing.
This end-to-end simulation toolchain will help enable Toyota, TRI-AD and TRI to bring automated vehicles to market.
- In-car AV computers based on DRIVE AGX Xavier or DRIVE AGX Pegasus™
The agreement includes the development of an architecture that can be scaled across many vehicle models and types, accelerating the development and production timeline, and simulating the equivalent of billions of miles of driving in challenging scenarios.
NVIDIA founder and CEO Jensen Huang commented on the development “Self-driving vehicles for everyday use and commercial applications in countless industries will soon be commonplace. Everything that moves will be autonomous. Producing all these vehicles at scale will require a connected collaboration for all elements of the system. Our relationship with TRI-AD and TRI is a model for that collaboration.”
Source: Press Release