Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Code release for NeRF (Neural Radiance Fields)

[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving

Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.