nuscenes

There are 1 repository under nuscenes topic.

• traveller59 / second.pytorch

  SECOND for KITTI/NuScenes object detection

  kittiobject-detectionvoxelnetnuscenes
  Language:Python 1730

• V2AI / Det3D

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

  3d-object-detectionautonomous-drivingdeep-learningkittinuscenesobject-detectionpoint-cloudpytorch
  Language:Python 1507

• xinge008 / Cylinder3D

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

  cvpr2021lidar-point-cloudlidar-segmentationnuscenespanoptic-segmentationpoint-cloudsemantic-segmentationsemantickitti
  Language:Python 863

• dvlab-research / VoxelNeXt

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

  3d-multi-object-tracking3d-object-detectionargoverseautonomous-drivinglidarnusceneswaymo-open-dataset
  Language:Python 742

• NVlabs / FB-BEV

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

  3d-object-detection3d-occupancy-prediction3d-perceptionautonomous-drivingbev-perceptiondeep-learningnuscenesscene-understanding
  Language:Python 679
• 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).

  autonomous-vehiclesdeep-learninghuman-robot-interactionhuman-trajectory-predictionnuscenesspatio-temporal-prediction
  Language:Jupyter Notebook 674
• openscene

  pengsongyou / openscene

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

  3d-scene-understandingclipcvpr2023llmmatterport3dnuscenespoint-cloud-segmentationpoint-cloudsscannetsemantic-segmentation
  Language:Python 666

• PaddlePaddle / Paddle3D

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

  3dapolloautodrivebevcenterpointhrnetkitti-datasetnuscenespoint-cloudpointpillarssmokesqueezesegthree-dimension-visionwaymo-open-datasetcaddn
  Language:Python 580

• PointsCoder / Awesome-3D-Object-Detection-for-Autonomous-Driving

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

  3d-object-detectionautonomous-drivingautonomous-vehicleslidarkitti-datasetwaymo-open-datasetnuscenes
  542

• cardwing / Codes-for-PVKD

  Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

  cvpr2022lidar-segmentationnuscenespoint-cloud-segmentationpytorchrange-imagesemantickittiwaymo-dataset
  Language:Python 510

• yanx27 / 2DPASS

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

  deep-learningknowledge-distillationlidar-point-cloudnuscenespytorchsemantic-segmentationsemantickitti
  Language:Python 411

• dvlab-research / FocalsConv

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

  3d-object-detectionautonomous-drivingkittinuscenessparse-convolution
  Language:Python 370

• dvlab-research / SphereFormer

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

  3d-object-detection3d-semantic-segmentationcvpr2023lidar-point-cloudnuscenessemantickittitransformerwaymo
  Language:Python 314

• SamsungLabs / imvoxelnet

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

  pytorchobject-detection3d-object-detectionmmdetectionimvoxelnetsun-rgbdnusceneskittiscannet
  Language:Python 284

• PointsCoder / GPT-Driver

  Learning to Drive with GPT

  autonomous-drivinggptgpt-3-5-turbolarge-language-modelsllmnuscenesopenai-api
  Language:Python 247

• nachiket92 / PGP

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

  autonomous-vehiclesnuscenespytorchtrajectory-prediction
  Language:Python 221

• TRI-ML / PF-Track

  Implementation of PF-Track

  3d-multi-object-trackingautonomous-drivingbev-perceptionmotion-predictionnuscenestransformers
  Language:Python 213

• DerrickXuNu / CoBEVT

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

  autonomous-drivingautonomous-vehiclesbev-perceptioncollaborative-perceptioncomputer-visionmulti-agent-perceptionnuscenessegmentationsemanticsemantic-segmentationv2vv2x
  Language:Python 210
• DEVIANT

  abhi1kumar / DEVIANT

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

  3d-computer-vision3d-object-detectionautonomous-drivingautonomous-vehicledepth-equivarianceeccveccv-2022eccv2022equivariancegeometric-deep-learningkitti-3dmonocular-3d-detectionmonocular-3d-localizationnuscenesobject-detectionone-stage-detectorprojective-geometryprojective-manifoldwaymo
  Language:C++ 206

• qcraftai / pillarnext

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

  3d-object-detectionautonomous-drivingnusceneswaymo-open-datasetlidarpoint-cloudperceptionself-driving
  Language:Python 204

• dvlab-research / LargeKernel3D

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

  3dnuscenesobject-detectionscannetsemantic-segmentation
  Language:Python 196

• qcraftai / simtrack

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

  autonomous-drivinglidar-point-cloudobject-trackingobject-detection3dnusceneswaymo-open-dataset
  Language:Python 173

• bharath5673 / YOLOv8-3D

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

  3dobjectadaskitti-datasetnuscenesperception-systemspytorchtensorflowultralyticsyoloyolov8monocular-3d-detectionmultiobject-trackingtracking
  Language:Python 170

• qcraftai / pillar-motion

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

  autonomous-drivinglidar-point-cloudpoint-cloud-motionself-supervised-learningnuscenes
  Language:Python 119

• mengmengliu1998 / LAformer

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

  argoverseautonomous-drivingnuscenespytorchtrajectory-prediction
  Language:Python 117

• V2AI / EFG

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

  3d-object-detectiondetrobject-detectionpytorchwaymo-open-dataset3d-scene-understandingnuscenes
  Language:Python 111

• megvii-research / MCTrack

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

  autonomous-drivingkitti-datasetmulti-object-trackingnuscenestracking-by-detectionwaymo-open-dataset
  Language:Python 102

• qcraftai / distill-bev

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

  3d-object-detectionautonomous-drivingbevcross-modaldistillationknowledge-distillationlidarmulti-cameramulti-modalnuscenespoint-cloudself-driving
  Language:Python 90
• 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

  3d-computer-vision3d-object-detectionautonomous-drivingautonomous-vehicleautonomous-vehiclesbev-segmentationcvprcvpr2024dicedice-losskitti360monocular-3d-detectionmonocular-3d-localizationnuscenesobject-detection
  Language:Python 88

• MCG-NJU / LinK

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

  detectionpoint-cloudsegmentationnuscenessemantickittilarge-kernelsautonomous-driving
  Language:Python 88

• LiewFeng / RayDN

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

  3d-object-detectionautonomous-drivingdenoisingeccveccv2024nuscenes
  Language:Python 84

• 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.

  3d-object-detectionfusionkitti-datasetlidarlidar-point-cloudmonocularnuscenespseudo-lidarreal-timergbsingle-stagesunrgbdtwo-stagewaymowaymo-open-dataset
  79

• PRBonn / lidar_transfer

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

  domain-adaptationiros2020lidarnuscenessemantic-kittivelodyne
  Language:Python 78

• brandesjj / centerfusionpp

  CenterFusion++ is a frustum propsal-based camera and radar sensor fusion network.

  cameradeep-learningnuscenesradarsensorfusion
  Language:Python 65

• li-xl / nuscenes-download

  script for downloading nuscenes

  nuscenes
  Language:Python 65

• 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

  depth-estimationkitti-datasetkitti360monocular-depth-estimationnuscenes
  Language:Python 62