nuscenes
There are 64 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)
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).
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
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
nachiket92/PGP
Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.
abhi1kumar/DEVIANT
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
DerrickXuNu/CoBEVT
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
PointsCoder/GPT-Driver
Learning to Drive with GPT
dvlab-research/LargeKernel3D
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)
TRI-ML/PF-Track
Implementation of PF-Track
qcraftai/pillarnext
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
qcraftai/simtrack
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)
qcraftai/pillar-motion
Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)
bharath5673/YOLOv8-3D
YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
V2AI/EFG
An Efficient, Flexible, and General deep learning framework that retains minimal.
mengmengliu1998/LAformer
Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
MCG-NJU/LinK
[CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception
qcraftai/distill-bev
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)
PRBonn/lidar_transfer
Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.
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.
brandesjj/centerfusionpp
CenterFusion++ is a frustum propsal-based camera and radar sensor fusion network.
abhi1kumar/SeaBird
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
Manojbhat09/Trajformer
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
d1024choi/HLSTrajForecast
The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.
Owen-Liuyuxuan/FSNet
Full Scale Monocular Depth Prediction. Official Implementation of "FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving" https://arxiv.org/abs/2304.10719
pyaf/nuscenes_viz
A tool to visualize nuscenes format dataset in 3D using mayavi