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slamcn's Projects

active-slam-with-cartographer icon active-slam-with-cartographer

This work contains a modified version of cartographer_frontier_detection and rrt_exploration. We implement an active exploration process and improve its robustness and performance. More details are described in the paper "Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration" (IROS2020).

ar-source icon ar-source

Augmented reality (AR) development resources(增强现实开发资源汇总)---AR Portal整理

awesome-slam icon awesome-slam

A curated list of awesome SLAM tutorials, projects and communities.

collab_orb_slam2 icon collab_orb_slam2

Collaborative visual SLAM pipeline as used in Collaborative Visual SLAM using Compressed Feature Exchange (RAL 2018).

crsm-slam-ros-pkg icon crsm-slam-ros-pkg

ROS package for the CRSM SLAM (Critical Rays Scan Match Simultaneous Localization And Mapping)

csm icon csm

The C(canonical) Scan Matcher

cube_slam icon cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

dbscan icon dbscan

C++ implementation of DBSCAN clustering algorithm

dbscan_line icon dbscan_line

A simple algorithm to clusterize 2D points into lines and then dense-objects

dstar-lite icon dstar-lite

A basic implementation of the D* lite algorithm

dvo_slam_docker icon dvo_slam_docker

docker container to run tum_vision/dvo_slam on TUM RGB-D SLAM datasets

ethzasl_msf icon ethzasl_msf

多传感器卡尔曼融合框架 基于滤波器的松耦合举例-msf http://www.cnblogs.com/ilekoaiq/p/9311357.html http://www.cnblogs.com/yhlx125/p/8504396.html http://www.cnblogs.com/ilekoaiq/p/9311357.html

evo icon evo

Python package for the evaluation of odometry and SLAM

fiducials icon fiducials

Simultaneous localization and mapping using fiducial markers. 自定义二维码

frsm icon frsm

Fast and Robust Scan Matcher

gradslam icon gradslam

gradslam is an open source differentiable dense SLAM library for PyTorch

gslam icon gslam

A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.

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