Parking Slot Markings Recognition for Automatic Parking Assist System

Parking Slot Markings Recognition for Automatic Parking Assist System

This paper describes a monocular vision based parking-slot-markings recognition algorithm, which is used to automate the target position selection of automatic parking assist system. Peak-pair detection and clustering in Hough space recognize marking lines. Specially, one-dimensional filter in Hough...

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Hauptverfasser: Ho Gi Jung, Dong Suk Kim, Pal Joo Yoon, Jaihie Kim
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Sprache:eng
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Filters
Guidelines
Image edge detection
Image recognition
Machine vision
Manufacturing automation
Sensor systems
Stereo vision
Surface fitting
Vehicles
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Dong Suk Kim
Pal Joo Yoon
Jaihie Kim
description This paper describes a monocular vision based parking-slot-markings recognition algorithm, which is used to automate the target position selection of automatic parking assist system. Peak-pair detection and clustering in Hough space recognize marking lines. Specially, one-dimensional filter in Hough space is designed to utilize a priori knowledge about the characteristics of marking lines in bird's eye view edge image. Modified distance between point and line-segment is used to distinguish guideline from recognized marking line-segments. Once the guideline is successfully recognized, T-shape template matching easily recognizes dividing marking line-segments. Experiments show that proposed algorithm successfully recognizes parking slots even when adjacent vehicles occlude parking-slot-markings severely
doi_str_mv 10.1109/IVS.2006.1689613
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Filters
Guidelines
Image edge detection
Image recognition
Machine vision
Manufacturing automation
Sensor systems
Stereo vision
Surface fitting
Vehicles
title Parking Slot Markings Recognition for Automatic Parking Assist System
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