Nvidia to offer access to its DNNs for AVs
Nvidia has announced that it will provide the transportation industry with access to its Nvidia Drive deep neural networks (DNNs) for autonomous vehicle (AV) development on the Nvidia GPU Cloud (NGC) container registry.
“The AI autonomous vehicle is a software-defined vehicle required to operate around the world on a wide variety of datasets,” said Jensen Huang, Founder and CEO of Nvidia. “By providing AV developers access to our DNNs and the advanced learning tools to optimize them for multiple datasets, we’re enabling shared learning across companies and countries, while maintaining data ownership and privacy. Ultimately, we are accelerating the reality of global autonomous vehicles.”
NVIDIA says it has spent years developing and training DNNs that run on the Nvidia Drive AGX platform, turning raw sensor data into a deep understanding of the world. These DNNs cover such tasks as traffic-light and sign detection, object detection (for vehicles, pedestrians, bicycles), and path perception, as well as gaze detection and gesture recognition inside the vehicle.
Tools for AI development
In addition to providing access to the DNNs, Nvidia announced the availability of a suite tools so developers can customize and enhance Nvidia’s DNNs using their own datasets and target feature set. According to the company, these tools allow the training of DNNs using active learning, federated learning, and transfer learning.
For more information, visit http://nvidianews.nvidia.com/.