A customized fastslam algorithm using scanning laser range finder in structured indoor environments

Author(s):  
Bo Xuan Hon ◽  
Hongyu Tian ◽  
Fei Wang ◽  
Ben M. Chen ◽  
Tong H. Lee
2011 ◽  
Vol 23 (1) ◽  
pp. 163-172 ◽  
Author(s):  
Mehrez Kristou ◽  
◽  
Akihisa Ohya ◽  
Shin’ichi Yuta

In this paper, we introduce an approach to identify and follow a target person for a service robot application. The robot is equipped with LRF and omnidirectional camera. Our approach is based on multisensor fusion in which a person is identified using the panoramic image and tracked using the Laser Range Finder (LRF). A target person selection is implemented to improve the identification when multiple candidates are detected. Our approach is successfully implemented on a mobile robot. A simplified target person following behavior is implemented to focus on the proposed method’s efficiency. Several experiments are conducted and showed the effectiveness of our approach to identify and follow human in indoor environments.


2007 ◽  
Vol 2007 (0) ◽  
pp. _1P1-C03_1-_1P1-C03_4
Author(s):  
Shimpei TAKASHIMA ◽  
Akihiro IKEZOE ◽  
Masayoshi KONDO ◽  
Daisuke JINNO ◽  
Tatsuhito HARU ◽  
...  

2020 ◽  
Vol 8 (2) ◽  
pp. 113-119
Author(s):  
Maxim N. Bondar ◽  
Vladimir N. Legkiy ◽  
Igor S. Gibin

A scanning laser range finder that provides distance measurement up to 10 m with an accuracy of 0.01 m for 360-degree circular scanning of space is described. Using the triangulation principle with a multi-element photodetector allows to creating a small-sized laser measuring system for robotic platforms for industrial and special purposes. Using the microcontroller allows to rationally implementing the discrete algorithm of the system in a given sector of space.


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