Car-Like Mobile Robot Navigation in Unknown urban Areas

被引：0
|
作者：
Brahim, Somia [1 ,2 ]
Tiar, Rachid [1 ]
Azouaoui, Ouahiba [1 ]
Lakrouf, Mustapha [1 ]
Loudini, Malik [2 ]
机构：
[1] CDTA, Div Prod & Robot, Algiers, Algeria
[2] Ecole Natl Supr Informat ESI Ex INI, Algiers, Algeria
来源：
2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2016年
关键词：
Mobile robots; autonomous systems; intelligent; navigation; automated transport; humans detection; Hector SLAM; obstacles avoidance; neural networks; fuzzy logic; target seeking; HOG descriptor; Ada-Boost learning;
D O I：
暂无
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
This paper implements an automated transportation system allowing passengers on a car-like robot to reach their destination safely, intelligently and autonomously. Different components of the system are described such as localization based on Hector SLAM, humans detection based on HOG (Histograms of Oriented Gradient) descriptor and intelligent navigation based on FNN (Fuzzy neural networks) approach. To show the whole system effectiveness for the car-like mobile robot Robucar, experimentations were done in ROS, in an unknown human environment.
引用
收藏
页码：1727 / 1732
页数：6
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