Alternatives and similar repositories for Awesome-BEV-Perception-Multi-Cameras:

Users that are interested in Awesome-BEV-Perception-Multi-Cameras are comparing it to the libraries listed below

• 4DVLab / Vision-Centric-BEV-Perception
  Vision-Centric BEV Perception: A Survey
  ☆701Updated last year
• OpenDriveLab / Birds-eye-view-Perception
  [IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
  ☆1,260Updated last year
• nv-tlabs / lift-splat-shoot
  Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
  ☆1,147Updated 5 months ago
• CVPR2023-3D-Occupancy-Prediction / CVPR2023-3D-Occupancy-Prediction
  CVPR2023-Occupancy-Prediction-Challenge
  ☆829Updated last year
• Megvii-BaseDetection / BEVDepth
  Official code for BEVDepth.
  ☆763Updated 2 years ago
• HuangJunJie2017 / BEVDet
  Code base of the BEVDet series .
  ☆1,556Updated 9 months ago
• PointsCoder / Awesome-3D-Object-Detection-for-Autonomous-Driving
  3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
  ☆575Updated last year
• ADLab-AutoDrive / BEVFusion
  Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
  ☆809Updated 2 years ago
• WangYueFt / detr3d
  ☆833Updated 2 years ago
• Sense-GVT / Fast-BEV
  Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
  ☆689Updated last year
• exiawsh / StreamPETR
  [ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
  ☆649Updated 9 months ago
• wzzheng / TPVFormer
  [CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.
  ☆1,242Updated 7 months ago
• weiyithu / SurroundOcc
  [ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
  ☆881Updated 7 months ago
• NVlabs / FB-BEV
  Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perceptio…
  ☆719Updated 3 weeks ago
• aharley / simple_bev
  A Simple Baseline for BEV Perception
  ☆541Updated last year
• hustvl / MapTR
  [ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
  ☆1,244Updated last month
• vasgaowei / BEV-Perception
  Bird's Eye View Perception
  ☆546Updated this week
• megvii-research / PETR
  [ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Per…
  ☆930Updated last year
• OpenDriveLab / OpenLane-V2
  [NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
  ☆585Updated 6 months ago
• Tsinghua-MARS-Lab / HDMapNet
  ☆719Updated 2 years ago
• XuyangBai / TransFusion
  [PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". …
  ☆675Updated 2 years ago
• bradyz / cross_view_transformers
  Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
  ☆543Updated last year
• tusen-ai / SST
  Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, or…
  ☆835Updated 3 months ago
• JeffWang987 / OpenOccupancy
  [ICCV 2023] OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
  ☆625Updated 3 months ago
• linxuewu / Sparse4D
  Sparse4D v1 & v2
  ☆440Updated 9 months ago
• zhangyp15 / BEVerse
  The official repository for BEVerse
  ☆409Updated 2 years ago
• OpenDriveLab / OccNet
  [ICCV 2023] OccNet: Scene as Occupancy
  ☆610Updated 8 months ago
• wayveai / fiery
  PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"
  ☆575Updated 4 months ago
• OpenDriveLab / PersFormer_3DLane
  [ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection
  ☆456Updated last year
• hustvl / VAD
  [ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
  ☆906Updated last month