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