ACKNOWLEDGEMENTS First, I would like to thank my supervisor Professor H. Levent Akın for his guidance. This thesis would not have been possible without his encouragement and enthusiastic support. I would also like to thank all the staff at the Artificial Intelligence Laboratory for their encouragement throughout the year. Their success in RoboCup is always a good motivation. Sharing their preci...

Application of new technology in building human comforts and automation is growing fast, particularly in automobile industry. Automatic detection and recognition of traffic signs for assisting driver to ensure a safe travel have been givenpractical importance for intelligent traffic system.The proposed method detects the location of the traffic sign in thecaptured image, based on its geometrica...

In this paper, a novel approach is developed using Fuzzy ARTMAP Neural Networks to recognize and classify Swedish road and traffic signs. The Swedish Speed-Limit signs are selected as a case study, but the system can be applied to other signs. A new color detection and segmentation algorithm is presented in which the effects of shadows and highlights are eliminated. Images are taken by a digita...

Automatic change detection and data updating is a very important issue for keeping the temporal accuracy and currency of spatial data sets. Road networks are one of the most important parts of geographic database. Firstly two kinds of new algorithms for detecting feature changes that is buffer detection (BD) algorithm and double-buffer detection (DBD) algorithm are illustrated in detail. The co...

This paper examines the detection and classification of road signs in color-images acquired by a low cost camera mounted on a moving vehicle. A new method for the detection and classification of road signs is proposed based on color based detection, in order to locate regions of interest. Then, a circular Hough transform is applied to complete detection taking advantage of the shape properties ...

Wildlife warning signs are the most commonly used and widespread form of road impact mitigation, aimed at reducing the incidence of wildlife-vehicle collisions. Evidence of the effectiveness of currently used signs is rare and often indicates minimal change in driver behaviour. Improving the design of these signs to increase the likelihood of appropriate driver response has the potential to red...

forest roads are basic infrastructures for management of forested areas. sustainable management of roads depends on regular and timely forest road maintenance. road inventory is as an important tool to recognize the needs of roads and do corresponding correction operations. gis can be a powerful tool for acquirement, analysis and management of data in road management. the purpose of this study ...

This paper is an investigation into the use of real-time image enhancement for improved road sign classification. In particular we observe speed signs tracked using a circle detector in image sequences to improve image quality for classification. We concentrate on a fast technique capable of running at frame rate. Finally, we show that reliable sign classification is possible earlier using supe...

Autonomous vehicle technology is a popular topic that could increase vehicle safety and convenience. Today, autonomous cars are tested with multiple sensors including lidar, radar, and cameras. Vehicle perception and localization today relies on expensive sensors like a Velodyne that costs as much as $30,000; however, humans are able to use the equivalent of one or two cameras as enough informa...

This paper presents a new algorithm for color detection and segmentation of road signs based on fuzzy sets. The images were taken by a digital camera mounted in a car. The RGB image was converted into HSV color space, and segmented by using a set of fuzzy rules depending on the hue and saturation values of each pixel in the HSV color space. The fuzzy rules are used to extract the colors of the ...