DocumentCode :
113836
Title :
A novel localization and navigation approach for an indoor autonomous mobile surveillance robot
Author :
Umer, Syed Muhammad ; Yongsheng Ou ; Wei Feng
Author_Institution :
Shenzhen Inst. of Adv. Technol., Shenzhen, China
fYear :
2014
fDate :
26-28 April 2014
Firstpage :
5
Lastpage :
10
Abstract :
In this paper, we discussed about a new mobile robot navigation technique, which will be used for home security. The objective is to perform indoor navigation efficiently and at the same time make the cost of the device as low as possible so as to make it commercializable. Here, we proposed an approach based on recognition of two infrared generated ceiling spots, which remains invisible to human eyes but easily captured by infrared camera. Then we use this image to locate the position of a robot and finally control the robot to the destination in the room, for example to its charging station. Experimental results show that the proposed approach is effective in real environment and opens new doors for future research.
Keywords :
cameras; collision avoidance; home automation; mobile robots; navigation; robot vision; surveillance; home security; human eyes; indoor autonomous mobile surveillance robot; indoor navigation; infrared camera; infrared generated ceiling spots; mobile robot navigation technique; robot position; Cameras; Charging stations; Mobile robots; Robot kinematics; Robot vision systems; Auto-recharging; Docking; Home security; Localization; Mobile robot; Obstacle avoidance; Robot navigation; Surveillance robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ICIST.2014.6920319
Filename :
6920319
Link To Document :
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