nuscenes

There are 64 repositories under nuscenes topic.

  • traveller59/second.pytorch

    SECOND for KITTI/NuScenes object detection

    Language:Python1.7k47477721
  • V2AI/Det3D

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

    Language:Python1.5k39147299
  • xinge008/Cylinder3D

    Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

    Language:Python81715169181
  • dvlab-research/VoxelNeXt

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

    Language:Python66085955
  • Trajectron-plus-plus

    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).

    Language:Jupyter Notebook6272489177
  • NVlabs/FB-BEV

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

    Language:Python580303937
  • openscene

    pengsongyou/openscene

    [CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies

    Language:Python569197744
  • PaddlePaddle/Paddle3D

    A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

    Language:Python54718198136
  • 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)

    Language:Python485380114
  • yanx27/2DPASS

    2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

    Language:Python388127752
  • dvlab-research/FocalsConv

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

    Language:Python36333635
  • dvlab-research/SphereFormer

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

    Language:Python28257134
  • SamsungLabs/imvoxelnet

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

    Language:Python26477429
  • nachiket92/PGP

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

    Language:Python20252935
  • DEVIANT

    abhi1kumar/DEVIANT

    [ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection

    Language:C++19762927
  • DerrickXuNu/CoBEVT

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

    Language:Python19591515
  • PointsCoder/GPT-Driver

    Learning to Drive with GPT

    Language:Python1945710
  • dvlab-research/LargeKernel3D

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

    Language:Python1856168
  • TRI-ML/PF-Track

    Implementation of PF-Track

    Language:Python17792925
  • qcraftai/pillarnext

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

    Language:Python16562110
  • qcraftai/simtrack

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

    Language:Python163143331
  • qcraftai/pillar-motion

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

    Language:Python119101812
  • bharath5673/YOLOv8-3D

    YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10

    Language:Python10841224
  • V2AI/EFG

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

    Language:Python1024911
  • mengmengliu1998/LAformer

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

    Language:Python9011013
  • MCG-NJU/LinK

    [CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception

    Language:Python78776
  • qcraftai/distill-bev

    DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)

    Language:Python765125
  • PRBonn/lidar_transfer

    Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.

    Language:Python755412
  • 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.

    Language:Python63268
  • SeaBird

    abhi1kumar/SeaBird

    [CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

    Language:Python51234
  • Manojbhat09/Trajformer

    Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)

    Language:Python39844
  • d1024choi/HLSTrajForecast

    The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.

    Language:Python38337
  • 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

    Language:Python38340
  • pyaf/nuscenes_viz

    A tool to visualize nuscenes format dataset in 3D using mayavi

    Language:Python35517