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Autonomous driving cars have become a trend in the vehicle industry. Numerous driver assistance systems (DAS) have been introduced to support these automatic cars. Among these DAS methods, traffic light detection (TLD) plays a significant role. This paper proposes a method to detect traffic lights (TLs) using color density identification (CD). The system receives an RGB image as an input and produces...
In this paper, we present a near real time approach to lane detection in highway and urban streets using images captured from monocular cameras as an input. The proposed method includes four main steps. First, the input image is transformed to a bird's eye view image by using warp perspective mapping. Second, an edge image is produced by applying a custom edge detection and morphology operation on...
Vehicles detection and classification are the most popular subjects in the computer vision researching field, and also are the most important parts in any traffic monitoring or surveillance system. Although there has been a considerable amount of ideas to accommodate this problem since the 90s, many problems are still unresolved due to the complexity of traffic systems and the variety of vehicles...
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