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autowarearchitectureproposal

This is the source code of the feasibility study for Autoware architecture proposal.

awesome-slam-datasets

A curated list of awesome datasets for SLAM

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cvpr2021-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

ekf-2d-slam

EKF实现2维平面上的SLAM

esvo

This repository maintains the implementation of "Event-based Stereo Visual Odometry".

evaluatetools

This repo provides useful tools for evaluating SLAM systems

event-based_vision_resources

floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)

gf_orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

gslam

Source Code for the 3dv2017 paper GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion

leetcode

LeetCode Problems' Solutions

lili-om

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

lls-loam

Lidar Odometry and Mapping with Mutiple Metrics Linear Least Square ICP

mulls

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square

orb-slam-plane

orb-slam2_rgbd_dense_map

This repository is modified from Xiang Gao's "ORB_SLAM2_modified".It is added a dense loopclosing map model.

orb-slam3-dense

orb_slam3_detailed_comments

Detailed comments for ORB-SLAM3

orbslam2_detailed_comments

Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing

ov2slam

OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications

overlapnet

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

planarslam

A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.

quadricslam

An extension of gtsam to provide support for optimizing quadric landmarks

slam-book

这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到400页左右，书稿每章对应的代码也会被整理出来。

stereo-localization-in-lidar-maps

Visual localization method in LiDAR maps. Only a stereo camera is need during localization since the LiDAR map can be built offline.

stereo-plane-slam

structure-slam-pointline

This is a basic point-line SLAM system based on ORBSLAM2.

visual_slam_related_research

视觉(语义) SLAM 相关研究跟踪