DocumentCode :
3289306
Title :
Vision guided path planning system for vehicles using infrared landmark
Author :
Sultan, Malik Saad ; Xiaopeng Chen ; Qadeer, N. ; Tongtong Zhang ; Huang Qiang
Author_Institution :
Sch. of Mechatronical Eng., Beijing Inst. of Technol., Beijing, China
fYear :
2013
fDate :
12-14 Dec. 2013
Firstpage :
179
Lastpage :
184
Abstract :
Infrared-landmark based vision navigation system is proposed to reliably guide drivers from starting point to goal following a feasible shortest path in a known indoor or outdoor environment no matter whether it is day or night. What´s more, this system is capable of warning drivers about the dangerous zones “like no right turn, no U-turn, damaged road ahead etc” conditions when no visible light is available for human beings, mostly at night. The system consists of Basler camera, designed Infra-Red landmark, our developed software, IR filter and an industrial computer. Each infrared landmark contains a unique ID. Address information and important notes are attached to each ID. Once a landmark is efficiently detected and its ID is recognized, location information related to the corresponding ID is presented. And then Dijkstra´s algorithm is efficiently utilized to find a possible shortest path to destination. After that, path is followed with the aid of vision system. Experimental results demonstrate suitability, effectiveness and feasibility in intelligent transportation system.
Keywords :
intelligent transportation systems; navigation; path planning; road vehicles; robot vision; Basler camera; Dijkstra algorithm; IR filter; Infrared landmark based vision navigation system; indoor environment; industrial computer; infrared landmark; intelligent transportation system; outdoor environment; vehicles; visible light; vision guided path planning system; vision system; Algorithm design and analysis; Cameras; Filtering algorithms; Machine vision; Optical filters; Reliability; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ROBIO.2013.6739455
Filename :
6739455
Link To Document :
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