Abstract Intelligent Transportation System (ITS), including unmanned vehicles, has been gradually matured despite on road. How to eliminate the interference due various environmental factors, carry out accurate and efficient traffic sign detection recognition, is a key technical problem. However, traditional visual object recognition mainly relies feature extraction, e.g., color edge, which lim...

An algorithm for traffic sign recognition and tracking is proposed in this paper. Image segmentation based on color space conversion and shape classification based on signature feature are used to detect traffic signs in complex urban scenes. To improve recognition accuracy, a two-modal representation method is presented to classify the detected candidate regions for traffic sign. One modal uti...

The availability of large-scale databases containing street-level panoramic images offers the possibility to perform semi-automatic surveying of real-world objects such as traffic signs. These inventories can be performed significantly more efficiently than using conventional methods. Governmental agencies are interested in these inventories for maintenance and safety reasons. This paper introd...

IN TR O D U CTIO N Traffic signing is one of the most effective means of transmitting messages to the motorist. If the operating traffic engineer is to take advantage of this tool, he must have some way of evaluating the total signing function and the basic requirement in this evaluation process as data relative to the number of signs, their type, condition and location. Unfortunately, traffic ...

To improve traffic safety, an automatic traffic sign detection system would be important to assist the driver. In this paper, an approach for detecting Norwegian speed limit signs is proposed. It consists of three major steps: Color-based filtering, locating sign(s) in an image and detection of numbers on the sign. About 91% correct recognition is achieved for a selection of 198 images. Ongoing...

This work proposes a design methodology using ergonomics and anthropometry concepts applied to traffic sign and street name sign projects. Initially, a literature revision on cognitive ergonomics and anthropometry is performed. Several authors and their design methodologies are analyzed and the aspects to be considered in projects of traffic and street name signs are selected and other specific...

OBJECTIVE This research directly tests the relationship between comprehension probability of highway signs and the extent to which they comply with three ergonomic principles of design: sign-content compatibility, familiarity, and standardization. BACKGROUND A recent study that evaluated comprehension of traffic signs in four different countries showed that comprehension level varies widely a...