xiaozhao00

xiaozhao00's Stars

• fundamentalvision/BEVFormer

  [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

  Language:Python3.5k72274562

• waymo-research/waymo-open-dataset

  Waymo Open Dataset

  Language:Python2.8k70834623

• tianweiy/CenterPoint

  Language:Python1.9k35408457

• wuxiaolang/Visual_SLAM_Related_Research

  视觉(语义) SLAM 相关研究跟踪

  1.8k973406

• HuangJunJie2017/BEVDet

  Code base of the BEVDet series .

  Language:Python1.5k35363268

• maudzung/SFA3D

  Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

  Language:Python1k3379273

• Deephome/Awesome-LiDAR-Camera-Calibration

  A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes

  983247144

• xiaoyufenfei/Efficient-Segmentation-Networks

  Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

  Language:Python9332024164

• naurril/SUSTechPOINTS

  3D Point Cloud Annotation Platform for Autonomous Driving

  Language:JavaScript89320217226

• voldemortX/pytorch-auto-drive

  PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

  Language:Python86810128139

• ADLab-AutoDrive/BEVFusion

  Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

  Language:Python7671894106

• Tsinghua-MARS-Lab/HDMapNet

  Language:Python7042654128

• lorenwel/linefit_ground_segmentation

  Ground Segmentation from Lidar Point Clouds

  Language:C++6991435149

• ros-drivers/velodyne

  ROS support for Velodyne 3D LIDARs

  Language:C++65746335653

• XuyangBai/TransFusion

  [PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496

  Language:Python6521310580

• RoboSense-LiDAR/rslidar_sdk

  RoboSense LiDAR SDK for ROS & ROS2

  Language:C++48312129229

• SmallMunich/nutonomy_pointpillars

  Convert pointpillars Pytorch Model To ONNX for TensorRT Inference

  Language:Python38953085

• varyshare/easy_slam_tutorial

  首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

  Language:Jupyter Notebook37614089

• SysCV/bdd100k-models

  Model Zoo of BDD100K Dataset

  Language:Python300102340

• 1989Ryan/Semantic_SLAM

  Semantic SLAM using ROS, ORB SLAM, PSPNet101

  Language:C++29812752

• VISION-SJTU/PillarNet-LTS

  Language:Python20663516

• tianweiy/CenterPoint-KITTI

  Language:Python19045245

• kaist-avelab/K-Lane

  The World's First Large Scale Lidar Lane Detection Dataset and Benchmark

  Language:Python16481623

• flappyimi/Radar-Basic-Algorithm

  Some basic algorithm used in Radar data process, including pulse compression/CFAR/monopulse、Kalman filter and fusion、arrary antenna design.

  Language:MATLAB1634048

• TRAILab/PDV

  Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)

  Language:Python15982230

• xinzhuma/3dodi-survey

  https://arxiv.org/pdf/2202.02980

  1451239

• tjiiv-cprg/SPFCN-ParkingSlotDetection

  SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection

  Language:Python735930

• speshowBUAA/mmdet3d_onnx_tools

  convert hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d from mmdet3d to onnx

  Language:Python341411

• ZYunfeii/KITTI-velodyne-viewer-matlab

  KITTI point cloud viewer with 3D Box realized by Matlab. At the same time, I realize the point-cloud car detection by DL. You just need to click the mouse once then the results got.

  Language:MATLAB24222

• Super-Iron-Man/Filter

  Language:C++4203