A driver’s actions and intent can be factors in enabling advance driver assistance systems (ADASs) to assist drivers avoid accidents. gaze provide insight into the or awareness of situations. Knowing that a gazed at traffic sign missed could indications whether is alert impending changes driving environment, such as curves stop signs. For ADASs determine importance seeing missing sign, it impor...

This paper describes a new approach for tracking circular traffic signs from image sequences. As a part of traffic sign recognition system, the traffic sign tracking will improve the performance of the recognition. By tracking the signs, search space is reduced and misdetection caused by temporal occlusion could be avoided. We propose a new blob tracking called two-layer blob tracking to track ...

In this paper, a novel method for traffic signs recognition based on PCA and LDA is proposed. To enlarge the classification distance between two different traffic signs samples, normalization of within-class means is considered firstly. Then the eigen space of all samples is calculated using the Principal Component Analysis (PCA) method and Linear Discriminant Analysis (LDA) method, respectivel...

Artificial intelligent (AI) driving is an emerging technology, freeing the driver from driving. Some techniques for automatically driving have been developed; however, most can only recognize the traffic signs in particular groups, such as triangle signs for warning, circle signs for prohibition, and so forth, but cannot tell the exact meaning of every sign. In this paper, a framework for a tra...

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 timely provision of traffic sign information to drivers is essential for the drivers to respond, to ensure safe driving, and to avoid traffic accidents in a timely manner. We proposed a timely visual recognizability quantitative evaluation method for traffic signs in large-scale transportation environments. To achieve this goal, we first address the concept of a visibility field to reflect ...

Withgrowing traffic, control devices at traffic circles are needed: signals, stop/yield signs, and orientation signs—a special sign that we designed. We create two models—one macroscopic, one microscopic—to simulate transport at traffic circles. The first models the problem as Markov chain, and the second simulates traffic by individual vehicles—a “cellularautomata-like” model. We introduce a m...