NVIDIA will be showcased next week as the winner of the fiercely contested 3D Occupancy Prediction Challenge for autonomous driving development at the Computer Vision and Pattern Recognition Conference (CVPR), in Vancouver, Canada.
The competition had more than 400 submissions from nearly 150 teams across 10 regions.
3D occupancy prediction is the process of forecasting the status of each voxel in a scene, that is, each data point on a 3D bird’s-eye-view grid. Voxels can be identified as free, occupied or unknown.
Critical to the development of safe and robust self-driving systems, 3D occupancy grid prediction provides information to autonomous vehicle (AV) planning and control stacks using state-of-the-art convolutional neural networks and transformer models, which are enabled by the NVIDIA DRIVE platform.