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cnugp's Projects
3dssd
3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)
a-loam
Advanced implementation of LOAM
balm
blam
blam-windows-vs2013-
blam算法-改写成windows版本，去除了ROS框架，可直接输入点云数据测试
ceres_lm_pl_icp
point to line icp by Ceres
cia-ssd
CIA-SSD: Confident IoU-Aware Single Stage Object Detector From Point Cloud, AAAI 2021.
codinginterviewchinese2
《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）
epnet
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV 2020)
floam
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)
google-research
Google Research
grid_map
Universal grid map library for mobile robotic mapping
icp
基于PCL，分别实现了point2point，point2plane，plane2plane三种形式的icp算法。There is practice of ICP algorithm using point-to-point, point-to-plane or plane-to-plane method
iscloam
Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020
jps3d
A C++ implementation of Jump Point Search on both 2D and 3D maps
lego-loam
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
lego-loam_noted
LeGO-LOAM代码注释与学习
limo
Lidar-Monocular Visual Odometry
lio-sam
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
lls-loam
Lidar Odometry and Mapping with Mutiple Metrics Linear Least Square ICP
loam_noted
loam code noted in Chinese（loam中文注解版）
loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
logicstack-leetcode
公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码
lol
LOL: Lidar-only Odometry and Localization in 3D point cloud maps
mulls
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square
openpcdet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
osrm-backend
开源导航引擎
point-cloud-viewer
A tool about 3D point cloud viewer with PCL
point-gnn
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
pointrcnn
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
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