PERCEPTION
Navigation Robot Covid With 3D LiDAR Using RTAB-MAP Method
Muhamad Ardiansyah Putra Wibowo, Sami Fauzan Ramadhan, Arjon Turnip
- 发表年份
- 2022
- 引用次数
- 4
- 访问权限
- 开放获取
摘要
Abstract The current pandemic has had a profound impact on people’s daily lives. This is because the COVID-19 virus is spread through the air. Technology such as autonomous robots can be the best solution to contain the spread of COVID-19. This study aims to develop an autonomous robot using 3D LiDAR to obtain 3D mapping. The method used is to use RTAB-MAP, namely the 3D SLAM method to get the mapping results. The result of this paper is that 3D LiDAR using RTAB-MAP gets good results when 3D LiDAR conditions are at a height of 150cm and 180cm with 18W lamp lighting.
关键词
LidarCoronavirus disease 2019 (COVID-19)RobotSimultaneous localization and mappingComputer visionComputer scienceArtificial intelligenceRemote sensingDroneGeography
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002