Driving is a key aspect of independence for many older individuals. However, road safety may be compromised if an individual is not able to perceive adequately the driving environment. In this paper, we examine whether driver assistance systems that are currently the subject of research can help in this regard. Specifically, can we identify deficits that lead to older adults needing to cease dr...

In order to be deployed in driving environments, Intelligent transport system (ITS) must be able to recognize and respond to exceptional road conditions such as traffic signs, highway work zones and imminent road works automatically. Recognition of traffic sign is playing a vital role in the intelligent transport system, it enhances traffic safety by providing drivers with safety and precaution...

An efficient shape-based recognition system of U.S. speed limit road signs is presented in this paper. The proposed system accomplishes speed sign detection and recognition processes using three main stages, namely, geometrical-based detection of rectangular road signs, shape-based segmentation and feature extraction, and pattern classification using a K-nearest neighbor classifier (KNN). Twent...

In this paper we present a novel and robust approach for detection, categorization and recognition of road signs. It is known that the standard road signs contain few and easily distinguishable colors, such as red for prohibition, yellow for warnings, green, blue and white. We use a Bayesian approach for detecting road signs in the captured images based on their color information. At the same t...

Traffic sign recognition is a difficult task if aim is at detecting and recognizing signs in images captured from unfavorable environments. Complex background, weather, shadow, and other lighting-related problems may make it difficult to detect and recognize signs in the rural as well as the urban areas. Two major problems exist in the whole detection process. Road signs are frequently occluded...

Establishing the current road type constitutes a significant assistance to car drivers, as, by default, determines legal speed limit. Although there are GPS- and map-based navigation systems that can retrieve actual limit some even access indicate traffic volumes, it was our aim develop test software prototype of road-type detection (RTD) system relies solely on video sensor data collected boar...

Detection, recognition, and positioning of road signs are critical components of a roadway asset management system. In this research, a stereo visionbased system is developed to conduct automated road sign inventory. The system in real time integrates and synchronizes the data streams from multiple sensors of high-resolution cameras, Differential Global Positioning System receivers, Distance Me...