LiXiaoQiang123z
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LVI-SAM for easier using (更简单的使用LVI-SAM的方法)
This repo is modified based on lvi-sam and liorf, which remove the feature extraction module and makes it easier to adapt different sensor.
A simple location system based on a priori map, which is based on the lio-sam framework
This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.
FASTER-LIO-SAM: A SLAM system based on iVox and GTSAM.
Front_end : fastlio2 Back_end : lio_sam
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
This repository provides implementation of an incremental k-d tree for robotic applications.
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints, IROS 2020
Implementation of the paper "DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients"
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Fast loop detector for sequences of monocular images
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
[ICRA'23] The official Implementation of "Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras"
An implementation of AVP-SLAM and some new contributions
A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.
PL-SLAM: The method is implemented in《PL-SLAM:Real-time Monocular Visual SLAM with Points and Lines》
This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.
Realtime Edge Based Visual Odometry for a Monocular Camera