The Road Traffic Sign Recognition and Automatic Positioning for Road Facility Management
نویسندگان
چکیده
منابع مشابه
Road Sign Detection and Recognition
Road sign detection is important to a robotic vehicle that automatically drives on roads. In this paper, road signs are detected by means of rules that restrict color and shape and require signs to appear only in limited regions in an image. They are then recognized using a template matching method and tracked through a sequence of images. The method is fast and can easily be modified to includ...
متن کامل- 1 - Cooperative Road Sign and Traffic
Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I as well as I2V) applications are developing very fast. They rely on telecommunication and localization technologies to detect, identify and geo-localize the sources of information (such as vehicles, roadside objects, or pedestrians). This paper presents an original approach on how two different technologies (a near infrared identificat...
متن کاملRoad traffic sign detection and classification
A vision-based vehicle guidance system for road vehicles can have three main roles: 1) road detection; 2) obstacle detection; and 3) sign recognition. The first two have been studied for many years and with many good results, but traffic sign recognition is a less-studied field. Traffic signs provide drivers with very valuable information about the road, in order to make driving safer and easie...
متن کاملReal-Time Road Sign Recognition
An automatic road sign recognition system locates road sign of interest within images captured by an imaging sensor on-board of a vehicle, and then identifies road signs assisting the driver of the vehicle to properly operate the vehicle. This paper presents a real-time road sign recognition system that can be used to improve road safety. The developed system is capable of analysing live road s...
متن کاملRoad Traffic Sign Saliency Map Model
In this paper, we propose a new pre-processing method for detecting road traffic sign based on visual saliency map model. Since the road traffic sign boards have dominent color contrast against environment, we consider the color opponents information with center surround difference normalization as an input feature extraction, which is effective to reduce noise influence as well as intensify th...
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ژورنال
عنوان ژورنال: Journal of the Korean Society of Road Engineers
سال: 2013
ISSN: 1738-7159
DOI: 10.7855/ijhe.2013.15.1.155