Shypd.aiThe largest open index of AI toolsFB-BEV is an open-source data & analytics tool that provides forward-backward view transformation for vision-centric autonomous driving perception. It offers PyTorch implementations for 3D object detection and occupancy prediction.
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FB-BEV and FB-OCC are a family of vision-centric 3D object detection and occupancy prediction methods, implemented in PyTorch, based on forward-backward view transformation. Developed by NVlabs, this tool is designed for autonomous driving perception, enabling advanced scene understanding. It provides functionalities for both 3D object detection and occupancy prediction, crucial for developing robust autonomous systems. The project includes resources for installation, dataset preparation, training, evaluation, and visualization, along with deployment options on NVIDIA DRIVE Platform with TensorRT. FB-BEV was accepted to ICCV 2023, and FB-OCC won awards in the CVPR 2023 End-to-End Autonomous Driving Workshop, highlighting its significance in the field.
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