Taking a vacant parking lot in crowded metropolitan areas is a major problem especially with the huge number of vehicles. In this study, the authors provide a vision-based system for real-time management of parking spaces in the case of outdoor parking. Different real-world challenges may face these systems such as weather conditions, luminance variation, perspective distortion and inter-spaces occlusion. In this study, they propose a decisional module based on a tracking approach that determines in real time the state of the parking lots and localises the vacant parking spaces according to several extracted attributes. This decision is based on local characteristics of the parking spaces as well as the performed vehicles’ events.
Trajectory analysis for parking lot vacancy detection system
IET Intelligent Transport Systems ; 10 , 7 ; 461-468
01.09.2016
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
real-time parking space management , weather conditions , vehicle events , parking lot vacancy detection system , road vehicles , computer vision , vacant parking space localisation , vacant parking lot , interspace occlusion , traffic engineering computing , luminance variation , decisional module , outdoor parking , perspective distortion , vision-based system
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