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A Method for Camera Vision Based Parking Spot Detection
Technical Paper
2006-01-1290
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
A main requirement for a driver assisting automated parking system is the identification and localisation of a free parking spot. A sensory system consisting of a reverse aid camera, a processing unit, vehicle track sensors and a link to the vehicles CAN-Bus is able to detect a parking spot, using vision processing algorithms.
This report starts with a case differentiation regarding parking situations. In reality a combination between several attributes and conditions define the initial parking situation and the specific demand on the sensory system to detect the parking spot.
The described method for camera vision based parking spot detection is characterised on specific situations, such as parking spots marked by painted lines and the kerbstone and well lighted rich-contrast situations. The method in general starts with the image processing on the incoming camera images. Based on the detection of attributes hypotheses for the identification of free parking spots are established and centralised in a hypotheses pool. Beneath the detected attributes another evaluation criteria is established, by the tracking of the hypothetical parking spots during the movement of the car. The most presumable parking spot is then displayed in the image of the reverse aid camera.
The report concludes with an evaluation of the achieved results under specific initial parking situations.
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Authors
Topic
Citation
Weis, T., May, B., and Schmidt, C., "A Method for Camera Vision Based Parking Spot Detection," SAE Technical Paper 2006-01-1290, 2006, https://doi.org/10.4271/2006-01-1290.Also In
Automotive Lighting Technology & Human Factors in Driver Vision & Lighting; Rear Vision & Indirect Vision
Number: SP-1993; Published: 2006-04-03
Number: SP-1993; Published: 2006-04-03
References
- Jähne, B. “Digital image processing” Springer-Verlag New York 1997
- Gonzalez, R.C. Woods, R.E. “Digital Image Processing” Prentice-Hall London 2001
- Parker, J.R. “Algorithms for image processing and computer vision” Jon Wiley & Sons New York 1997
- Sonka, M. Hlavac, V. Boyle, R. “Image processing, Analysis and Machine Vision” Brooks/Cole Publishing 1999
- Schmidt, C. “Erarbeitung und Bewertung einer automatisierbaren Einparkstrategie unter technischen, ergonomischen und wirtschaftlichen Gesichtspunkten, als Bestandteil eines fahrerunterstützenden Informationssystems zur Einparkhilfe ” TU-Ilmenau 2004
- Weis, T. “Leuchtdichte und Kontraststeuerung von Displays bei Verwendung als elektronische Rückspiegel” TU-Ilmenau 2002