cao-dut Goto Github PK

octomap_path_planner

A wavefront path planner for planning in octree 3D maps.

octomap_tutor

A tutorial about octomap. Please check my blog for detail: cnblogs.com/gaoxiang12

okvis

OKVIS: Open Keyframe-based Visual-Inertial SLAM.

online_place_recognition

Graph-based image sequences matching for the visual place recognition in changing environments.

openable

OpenABLE is an open toolbox that contributes different solutions and functionalities to the research community in the topic of life-long visual localization for autonomous vehicles. You can access to the Webpage of the OpenABLE project for more information about it.

opensift

Open-Source SIFT Library

orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

overlapnet

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

patchwork-plusplus

Fast and robust ground segmentation method using 3D point cloud. @ IROS'22

path_planning

Quadcopter path planning using RRT* and minimum jerk trajectory generation

pcanet

A Python implementation of PCANet https://arxiv.org/abs/1404.3606

pct

Jittor implementation of PCT:Point Cloud Transformer

pct_pytorch

Pytorch implementation of PCT: Point Cloud Transformer

point-transformer-pytorch

Implementation of the Point Transformer layer, in Pytorch

point_labeler

My awesome point cloud labeling tool

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointnetvlad

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

pointseg

pr-gls

Non-Rigid Point Set Registration by Preserving Global and Local Structures

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

research

dataset and code for 2016 paper "Learning a Driving Simulator"

rift2-multimodal-matching-rotation

rpg_svo

Semi-direct Visual Odometry

rtabmap

RTAB-Map library and standalone application

rtabmap_ros

RTAB-Map's ROS package.

sc-lego-loam

LiDAR SLAM: Scan Context + LeGO-LOAM

sc-lio-sam

LiDAR-inertial SLAM: Scan Context + LIO-SAM

scancontext

Global LiDAR descriptor for place recognition and long-term localization

segmap

A map representation based on 3D segments

segmenter

Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation