Live2D

slam相关链接

借鉴 https://zhuanlan.zhihu.com/p/357227940

 

1,机械狗楼梯建图

2,visual-inertial mapping framework

3,icp mapping

4 3d mapping

5 Place categorization and semantic mapping on a mobile robot

6 多机器人协作建图

7,rgbd slam Dynamic RGB-D Encoder SLAM for a Differential-Drive Robot

8,glass 检测

9,

10,hdl graph slam
解析

11 地图拼接

自动驾驶仿真平台
1,
2,
3,
4,
5 autoware



video

AuTOREALLY

tx2 使用的一些教程

无人驾驶博客

竞速小车
1,
2,

定位
1,

2,point cloud 定位

hdl_localization is a ROS package for real-time 3D localization using a 3D LIDAR, such as velodyne HDL32e and VLP16.

Graph-based matching of image sequences

3,
4,

5,通过icp地图匹配定时修正amcl位置

6,The localization module is more efficient and accurate than the well-known AMCL-module and no separate occupancy grid is needed.

navigation
1,Global and local path planner plugins for ROS move_base which move the robot in 2D (x,y,angle) but avoid collisions using full 3D data (robot meshes and environment octomap).

2, use ar code to navigate

3,

4 gerona导航系统框架 包含了很多导航算法

探索算法


清扫路径

5,Global and local path planner plugins for ROS move_base which move the robot in 2D (x,y,angle) but avoid collisions using full 3D data

6, 检测人的导航算法 和简单的跟随算法

检测人的导航算法

7,
8, 多地图导航

9,way point

10,
Tools for building 3D maps and using these maps for navigation and visualization.

11, 拥挤环境的导航

12, 小米扫地机机器人破解 和ros 控制

13, 室内外导航车的 刚好应用

14, 自动驾驶车,包括一系列教程

15, 机器人多人群中预测轨迹 比较好的项目

16, 全局路径导航算法 hybrid-astar planner

local planner
1,The rsband_local_planner combines an elastic band planner, a reeds shepp planner and a fuzzy logic based path tracking controller, to achieve reactive local planning for Car-Like robots with Ackermann or 4-Wheel-Steering.

2,

layer
1,

2,ostmap plugin for the Navigation Stack to add a voronoi layer, to make the robot prioritize going in between obstacles.

3,
虚拟障碍物层

wall follower
1,

人跟踪

1 Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

机械狗模型
1,

2,

gpu 计算

laser odmetry
1,

机械手的一些算法

人形机器人 
1 

c# 人脸识别

Implement MTCNN for face detection and landmark localization in ncnn framework in C++ Support Windows, Ubuntu and Raspberry Pi

地图合并

机器学习地面车道线检测

自动充电装检测

posted @ 2021-07-15 19:09  檀木  阅读(150)  评论(0编辑  收藏  举报
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