Traffic sign detection is a challenging task for the unmanned driving system, especially of multi-scale targets and real-time problem detection. In traffic process, scale changes greatly, which will have certain impact on accuracy. Feature pyramid widely used to solve this problem, but due diversity sizes, it cannot accurately extract multi-size feature maps, thus destroying consistency between...

Due to the rapid development of motor vehicle Driver Assistance Systems (DAS), the safety problems associated with automatic driving have become a hot issue in Intelligent Transportation. The traffic sign is one of the most important tools used to reinforce traffic rules. However, traffic sign image degradation based on computer vision is unavoidable during the vehicle movement process. In orde...

nowadays, because of the growing numbers of vehicles on streets and roads, the use of intelligent controlsystems to improve driving safety and health has become a necessity. to design and implement suchcontrol systems, having information about traffic light colors is essential. there are the wide variety oftraffic lights in terms of light intensity and color. therefore it seems that design and ...

there has been an increasing concern about inactive drivers who would easily lead to road accidents and fatalities once return to driving. this study investigated the re-usability of traffic signs for inactive drivers with consideration of driver factors and cognitive sign features. fifty-seven hong kong chinese, who possessed a full driving license but had not driven for an extended period, co...

--Traffic sign recognition usually consists of two parts : detection and classification. In this paper we describe the classification stage using ring partitioned method. In this method, first the RGB image is converted into gray scale image using color thresholding and histogram specification technique. This gray scale image, called as specified gray scale image is invariant to the illuminatio...

In this project, image processing techniques are used to develop basic understanding on video recording taken by vehicle’s front-view camera. By post processing on the video recording, the computer is able to extract road sign and traffic light information, and make prediction on how fast the vehicle is moving and steering. The road sign recognition is able to identify most of the signs in the ...

Traffic Sign Detection and Recognition (TSDR) has many features help the driver in improving the safety and comfort, today it is widely used in the automotive manufacturing sector, a robust detection and recognition system a good solution for driver assistance systems, it can warn the driver and control or prohibit certain actions which significantly increase driving safety and comfort. This pa...