DocumentCode :
3575851
Title :
Robust self-localization of ground vehicles using artificial landmark
Author :
Jae-Yeong Lee ; Wonpil Yu
Author_Institution :
Electron. & Telecommun. Res. Inst., Daejeon, South Korea
fYear :
2014
Firstpage :
303
Lastpage :
307
Abstract :
Stable and accuracy localization has crucial importance on the success of autonomous navigation of robotic ground vehicles. In this paper, we present a landmark-based sensor fusion localization method that utilizes artificial landmarks, a cheap GPS sensor, and wheel odometry. We describe overall architecture of the proposed localization system and technical details of landmark-based localization algorithm. The developed landmark-based localization system gives centimeters localization accuracy and real time performance more than 100 Hz. The experimental results on extensive real video sequences confirms the effectiveness and reliability of the method, showing successful detection of most landmarks with almost no false detection.
Keywords :
Global Positioning System; image fusion; image sequences; object detection; path planning; remotely operated vehicles; robot vision; video signal processing; GPS sensor; Global Positioning System; artificial landmark; autonomous navigation; landmark detection; landmark-based sensor fusion localization; robotic ground vehicles; robust self-localization; video sequences; wheel odometry; Accuracy; Cameras; Global Positioning System; Robot sensing systems; Sensor fusion; artificial landmark; localization; sensor fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2014 11th International Conference on
Type :
conf
DOI :
10.1109/URAI.2014.7057439
Filename :
7057439
Link To Document :
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