The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
翻译 - 基于YOLOv4的PyTorch实现：“ Complex-YOLO：点云上的实时3D对象检测”
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
翻译 - 基于3D LiDAR点云的超快速，准确的3D对象检测（PyTorch实现）
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
A list of references on lidar point cloud processing for autonomous driving
This repository provides implementation of an incremental k-d tree for robotic applications.
#数据仓库#A Modular Optimization framework for Localization and mApping (MOLA)
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
Tool for convert files into Magicavoxel file
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
Intensity-based_Lidar_Camera_Calibration
A probabilistic voxelmap-based LiDAR-Inertial Odometry.
#计算机科学#2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
Fast and robust global registration for terrestrial robots @ ICRA2022
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
C++ library and programs for reading and writing ASPRS LAS format with LiDAR data
[RAL' 2025] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.