Nvidia Research kicks off CVPR with Autonomous Grand Challenge win

For the winning entry showcased at the Computer Vision and Pattern Recognition conference running this week in Seattle, Nvidia used its Hydra-MDP to ingest vehicle trajectory history and camera and lidar data at a reduced frame rate and generate the optimal vehicle path as an output in a simplified end-to-end architecture said to optimize pipelines with less code and better performance.

Loading

Subscribe