Vision guided path planning system for vehicles using infrared landmark

Malik Saad Sultan, Xiaopeng Chen*, Nouman Qadeer, Tongtong Zhang, Huang Qiang

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Pages179-184
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 - Shenzhen, China
Duration: 12 Dec 201314 Dec 2013

Conference

Conference2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
Country/TerritoryChina
CityShenzhen
Period12/12/1314/12/13

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