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...

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Advanced Driver Assistance Systems rely on automated traffic sign recognition. Today, Deep Learning methods outperform other approaches in terms of accuracy and processing time; however, they require vast well-curated data sets for training. In this paper, we present the Austrian Highway Traffic Sign Data Set (ATSD), a comprehensive annotated set images almost all signs highways 2014, correspon...

During the last 10 years, computer hardware technology has been improved rapidly. Large memory, storage is no longer a problem. Therefore some trade-off (dirty and quick algorithms) for traffic sign recognition between accuracy and speed should be improved. In this study, a new approach has been developed for accurate and fast recognition of traffic signs based on human vision models. It applie...

TSR (Traffic sign recognition) is an important problem in ITS (intelligent traffic system), which is being paid more and more attention for realizing drivers assisting system and unmanned vehicle etc. TSR consists of two steps: detection and recognition, and this paper describe a new traffic sign detection method. The design principle of the traffic sign is comply with the visual attention mech...

This paper proposes a method for constructing an accurate traffic sign detector by retrospectively obtaining training samples from in-vehicle camera image sequences. To detect distant traffic signs from in-vehicle camera images, training samples of distant traffic signs are needed. However, since their sizes are too small, it is difficult to obtain them either automatically or manually. When dr...

The aim of this thesis project is to develop the Traffic Sign Recognition algorithm for real time. In real time environment, vehicles move at high speed on roads. For the vehicle intelligent system it becomes essential to detect, process and recognize the traffic sign which is coming in front of vehicle with high relative velocity, at the right time, so that the driver would be able to pro-act ...

Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages. First, a typical Hough transformation is adopted to implement coarse-grained location of the candidate regions of traffic signs. Second, a RIBP (Rotation I...