yusufy1ld1z's Stars
Vinohith/Self_Driving_Car_specialization
Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera
cyrusbehr/tensorrt-cpp-api
TensorRT C++ API Tutorial
url-kaist/TRAVEL
Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans
HuangJunJie2017/BEVDet
Official code base of the BEVDet series .
tianweiy/CenterPoint
Haiyang-W/DSVT
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
open-mmlab/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
mit-han-lab/bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
xinshuoweng/AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
AI-liu/Complex-YOLO
Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet
Nightmare-n/GraphRCNN
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph (ECCV 2022, Oral) :fire:
YurongYou/MODEST
Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]
rayguan97/M3DETR
Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
CodeWZT/MLVSNet
[ICCV 2021] PyTorch code for “MLVSNet: Multi-level Voting Siamese Network for 3D Visual Tracking”
Vegeta2020/SE-SSD
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.
tusen-ai/LiDAR_RCNN
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
open-mmlab/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
rahuldkjain/github-profile-readme-generator
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
NUAAXQ/awesome-point-cloud-analysis-2023
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
tyjiang1997/awesome-Automanous-3D-detection-methods
sshaoshuai/PointRCNN
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
PRBonn/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.