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An advanced Number plate Detection Method for Rear-End Collision Avoidance System

  • The Design of a new car moves from real car prototype to software based virtual design methods, see e.g. [1]. These methods accelerate both the design and the development of new functions. Especially safety functions are of interest. The rear-end collision, which is typically caused by other drivers, is an accident that cannot be easily controlled by the ego driver. In the case, a rear-end collision takes place, a fast detection of the status and a fast evacuation are needed. This paper classifies the rear-end collisions and proposes methods of avoiding the accident and if this is not possible of minimizing the damage. Rigorous and accurate evaluation of the risk of the coming collision by fast and real-time processing and reliable detection of accidents should be realized. To improve the reliability, the integration of several detecting elements is needed. At the detection of the collision, it is necessary to minimize false positive and permit false negative identifications. Then, logical AND of results of detection elements is usedThe Design of a new car moves from real car prototype to software based virtual design methods, see e.g. [1]. These methods accelerate both the design and the development of new functions. Especially safety functions are of interest. The rear-end collision, which is typically caused by other drivers, is an accident that cannot be easily controlled by the ego driver. In the case, a rear-end collision takes place, a fast detection of the status and a fast evacuation are needed. This paper classifies the rear-end collisions and proposes methods of avoiding the accident and if this is not possible of minimizing the damage. Rigorous and accurate evaluation of the risk of the coming collision by fast and real-time processing and reliable detection of accidents should be realized. To improve the reliability, the integration of several detecting elements is needed. At the detection of the collision, it is necessary to minimize false positive and permit false negative identifications. Then, logical AND of results of detection elements is used to exclude the false positive error. The types of the ego-car positions in rear-end collisions are running and stopping in a traffic jam. Types of driver’s behaviours in following vehicles are e.g. look away, inattentive, careless, dozing, etc. Types of situations are e.g. poor visibility in snow, in the fog, insufficient vehicle distance, etc. The collision should be detected at least two seconds or 50 meters before the accident at the difference speed of 100 km/h. The evacuation may be indicated to the following car by light and sound signals or electric impulses. To judge that the collision shall surely occur, the moving object must be identified as a real vehicle. Detection elements to identify real vehicle are the number plate, vehicle symmetry, the tires, the windscreen, the face or the eyes of the driver etc. In this paper, among the above elements, the number plate detection is deeply improved. The method presented is mainly developed to improve correct detection rate in comparison with conventional methods. The features of the number plate are many vertical and horizontal lines combined to numbers with horizontal to vertical aspect ratio in the order of the detected rectangle of the number plate. Additionally there is a relatively high luminance of background of number plate area. In this paper, in addition to these features, an advanced sobel filter is introduced to adapt to the size variation of the number plate depending on the distance between two cars. The basic coefficients of the original sobel filter is (1,0,-1). The proposed advanced sobel filter is (1,0,0,-1). By using the original and the advanced sobel filters, larger plates and smaller plates will be detected adaptively. The resulted rear-end collision avoidance software will be integrated and tested in the virtual system design approach.show moreshow less

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Author:Kazuo Ohzeki, Takuya Okunuki, Stefan-Alexander SchneiderORCiDGND
URL / DOI:http://itrn.ie/wp-content/uploads/2020/07/2589_ohzeki_5_itrn_template_2015_after_Hide_Private_Numbers.pdf
Parent Title (English):Proceedings of the ITRN 2015
Document Type:conference proceeding (article)
Conference:Irish Transport Research Network Conference 2015, 27. - 28. August 2018, Calway, Irland
Language:English
Date of Publication (online):2015/08/28
Year of first Publication:2015
Number of pages:9 Seiten
First Page:1
Last Page:9
Institutes:Fakultät Elektrotechnik
Research focus:FSP2: Mobilität
Publication Lists:Schneider, Stefan-Alexander
Publication reviewed:begutachtet
Release Date:2021/02/22
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