nuscenes
There are 78 repositories under nuscenes topic.
traveller59/second.pytorch
SECOND for KITTI/NuScenes object detection
V2AI/Det3D
World's first general purpose 3D object detection codebse.
xinge008/Cylinder3D
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
dvlab-research/VoxelNeXt
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
NVlabs/FB-BEV
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
pengsongyou/openscene
[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
StanfordASL/Trajectron-plus-plus
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).
PaddlePaddle/Paddle3D
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
PointsCoder/Awesome-3D-Object-Detection-for-Autonomous-Driving
3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
cardwing/Codes-for-PVKD
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
yanx27/2DPASS
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:
dvlab-research/FocalsConv
Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)
dvlab-research/SphereFormer
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
SamsungLabs/imvoxelnet
[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
PointsCoder/GPT-Driver
Learning to Drive with GPT
nachiket92/PGP
Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.
TRI-ML/PF-Track
Implementation of PF-Track
DerrickXuNu/CoBEVT
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
abhi1kumar/DEVIANT
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
qcraftai/pillarnext
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
dvlab-research/LargeKernel3D
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)
bharath5673/YOLOv8-3D
YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
qcraftai/simtrack
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)
megvii-research/MCTrack
This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"
mengmengliu1998/LAformer
[CVPRW 2024]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
qcraftai/pillar-motion
Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)
V2AI/EFG
An Efficient, Flexible, and General deep learning framework that retains minimal.
LiewFeng/RayDN
[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
qcraftai/distill-bev
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)
abhi1kumar/SeaBird
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
DavidXu-JJ/StreetUnveiler
[ICLR 2025] 3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline
MCG-NJU/LinK
[CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception
Cavendish518/SFPNet
This repo is the official code for the paper SFPNet (ECCV 2024) and dataset S.MID.
maudzung/Awesome-Autonomous-Driving-Papers
This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.
li-xl/nuscenes-download
script for downloading nuscenes
PRBonn/lidar_transfer
Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.