Pinned Repositories
AutoMerge_Server
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments
AVP-SLAM-PLUS
An implementation of AVP_SLAM and some new contributions
c2tam
Cloud framework for Cooperative Tracking And Mapping
cartographer_installation
shell script for installtion of cartographer_ros
CDC18
A. Selivanov and E. Fridman, "Sampled-data H-infinity filtering of a 2D heat equation under pointwise measurements," in 57th Conference on Decision and Control, 2018.
csdn_downloader
csdn下载,csdn免积分下载,csdn免会员下载,csdn付费内容下载 免费资源 体验地址:http://servicedev.tpddns.cn:8181/#/login?c=12
imm_ukf_pda
Multi-Object-Tracking
A fast object tracking method by using JPDA-IMM-UKF.
Robust-Cubature-Kalman-Filter-With-Coloured-Noise-Simulation
VINS-FUSION-leanrning
VINS-FUSION中文注释版.目前网络上对于VINS-mono的代码已经有很多讲解和注释了,但是对于VINS-FUSION(以下简称VF)的注释还是很少的,刚好本人最近也正在学习VIO的相关知识,所以对VF按照程序执行顺序进行了十分详细的注释,同时为了和大家进行交流学习,所以把相关注释代码进行开源。因水平有限,错误肯定不少,还请各位大佬们指正。
ral-lee-ls's Repositories
ral-lee-ls/VINS-FUSION-leanrning
VINS-FUSION中文注释版.目前网络上对于VINS-mono的代码已经有很多讲解和注释了,但是对于VINS-FUSION(以下简称VF)的注释还是很少的,刚好本人最近也正在学习VIO的相关知识,所以对VF按照程序执行顺序进行了十分详细的注释,同时为了和大家进行交流学习,所以把相关注释代码进行开源。因水平有限,错误肯定不少,还请各位大佬们指正。
ral-lee-ls/CDC18
A. Selivanov and E. Fridman, "Sampled-data H-infinity filtering of a 2D heat equation under pointwise measurements," in 57th Conference on Decision and Control, 2018.
ral-lee-ls/Cubature-Kalman-Filter
Header-only C++11 Cubature Kalman Filtering (CKF) implementation based on Eigen3
ral-lee-ls/Cubature_Kalman_Filter_and_Smoother
Generic Code for Cubature Kalman Filter and Fixed Interval Cubature Kalman Smoother.
ral-lee-ls/CubatureKalmanFilters
Toolbox for Cubature Kalman filters and its applications implemented in Python
ral-lee-ls/fusion-ekf
An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
ral-lee-ls/Kalman-filter-and-its-extensions
Kalman filter, Extended Kalman filter, Unscented kalman filter, Cubature Kalman filter, M-estimation Robust cubature kalman filter implementation for various linear and non linear systems like UAV position tracking, UAV angle of attack and pitch angle tracking, UAV direction of angle tracking etc.
ral-lee-ls/kalman_h_infinity_filters
ral-lee-ls/map_merging
A ROS package provides a node for merging multiple maps by knowing the initial relative positions of robots
ral-lee-ls/maps_hough
ros2 implementation of "Merging maps via Hough transform" from Robotics at UC Merced
ral-lee-ls/MobileNetV2-pytorch
Impementation of MobileNetV2 in pytorch
ral-lee-ls/Multiple-Grid-Maps-Merging-demo
ral-lee-ls/multirobot_map_merge_Noted
Chinese noted version about multirobot_map_merge
ral-lee-ls/open_vins_with_superpoint
Openvins with the learning based feature extractor -- Superpoint
ral-lee-ls/OpenLORIS-Scene
Issue tracker of the OpenLORIS-Scene dataset and Lifelong SLAM Challenge
ral-lee-ls/OpenVINS-using-SuperPoint-and-Invariant-EKF
This project was done as part Mobile Robotics (ROB530) course in University of Michigan
ral-lee-ls/PL-VIO
monocular visual inertial system with point and line features
ral-lee-ls/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
ral-lee-ls/semantic_slam_nav_ros
针对带有RGBD相机的服务机器人,物流机器人等。具有:语义地图构建、定位导航、三维重构、重定位、动态物体识别、移动避障、手势识别、人脸识别、语音合成与识别等功能
ral-lee-ls/SuperPoint_SLAM
SuperPoint + ORB_SLAM2
ral-lee-ls/SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
ral-lee-ls/Tiny_EKF
ral-lee-ls/VINS-Course
VINS-Mono code without Ceres or ROS
ral-lee-ls/VINS-Fusion-RGBD
This is a specific verision of VINS-Fusion that supports RGB-D sensors. 一种可支持RGB-D传感器的VINS-Fusion算法。
ral-lee-ls/VINS-kidnap
a place recognition system for VINS-fusion
ral-lee-ls/VINS-Mono
VINS-Mono中文注释
ral-lee-ls/VINS-Mono-Optimization
实现点线紧耦合优化的VINS-Mono
ral-lee-ls/vins-mono-self-improved-
an improved version of vins-mono
ral-lee-ls/VINS-RGBD
ral-lee-ls/VINS_Fusion-comment
VINS-Fusion注释版本. This is a comment version of VINS_Fusion to record my own comprehension. The original codes fork from https://github.com/HKUST-Aerial-Robotics/VINS-Fusion.