DocumentCode :
3157812
Title :
On-vehicle video-based parking lot recognition with fisheye optics
Author :
Houben, Sebastian ; Komar, Maria ; Hohm, Andree ; Luke, Stefan ; Neuhausen, Marcel ; Schlipsing, Marc
Author_Institution :
Inst. for Neural Comput., Univ. of Bochum, Bochum, Germany
fYear :
2013
fDate :
6-9 Oct. 2013
Firstpage :
7
Lastpage :
12
Abstract :
The search for free parking space in a crowded car park is a time-consuming and tedious task. Today´s park assistance systems provide the driver with acoustic or visual feedback when approaching an obstacle or semi-autonomously navigate the vehicle into the parking lot. However, finding a free parking lot is usually left to the driver. In this paper, we address this search problem via video sensors only. This can be used as a help to the driver to quickly pass a parking deck and, more important, can be regarded as a cornerstone to fully autonomously parking vehicles.
Keywords :
image sensors; object recognition; traffic engineering computing; video signal processing; acoustic feedback; car park; fisheye optics; on-vehicle video-based parking lot recognition; park assistance systems; parking space; vehicle navigation; video sensors; visual feedback; Accuracy; Calibration; Cameras; Estimation; Image processing; Sensors; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on
Conference_Location :
The Hague
Type :
conf
DOI :
10.1109/ITSC.2013.6728595
Filename :
6728595
Link To Document :
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