Popular GitHub Repositories for Nuscenes

SECOND for KITTI/NuScenes object detection

World's first general purpose 3D object detection codebse.

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

Learning to Drive with GPT

Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.

[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)

LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)

Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)

This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"

[CVPRW 2024]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

An Efficient, Flexible, and General deep learning framework that retains minimal.

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection