This paper presents a Graphic Processing Unit (GPU) implementation of real-time traffic sign detection and recognition which can classify 48 classes of traffic signs in the library. The GPU-based system has three stages: pre-processing, feature extraction and classification. The proposed design is to optimize the tradeoff between accuracy and computing time which has not been well studied previ...

the paper discusses the current state of research concerning railway network timetabling and traffic management. timetable effectiveness is governed by frequency, regularity, accurate running, recovery and layover times, as well as minimal headway, buffer times and waiting times. analytic (queuing) models and stochastic microsimulation are predominantly used for estimation of waiting times and ...

The article presents a review on vision-based solutions for driver assistance. These solutions support the driver to keep safe travel conditions. They use diverse sensing modalities for the recognition of the environment around the vehicle. Upon detection a critical safety situation they supply the driver with the warning. Four assistance systems have been addressed: TSR Traffic Sign Recognitio...

Road traffic signs provide instructions, warning information, to regulate driver behavior. In addition, these signs provide a reliable guarantee for safe and convenient driving. The Traffic Sign Detection and Recognition (TSDR) system is one of the primary applications for Advanced Driver Assistance Systems (ADAS). TSDR has obtained a great deal of attention over the recent years. But, it is st...

Sophisticated digital map is an essential resource for intelligent vehicles to localize and retrieve environment information. However, the open map resource do not contain enough information for decision making during autonomous driving. Although comprehensive commercial map can provide precise map knowledge, the data format is not in a machine-readable format. Therefore, we retrieve useful kno...

Today’s, a common problem in cities is increasing delay and reducing the speed of traffic. On the other wise increasing costs of acquisition in urban area are not allow new routes and highways. Also construction of new highway or street such as Imam Ali highway and Sadr highway in Tehran lead to develop new applications (such as BRT lane ,…) And become quickly saturate and less eff...

An automatic road sign detection system localizes road signs from within images captured by an on-board camera of a vehicle, and support the driver to properly ride the vehicle. Most existing algorithms include a preprocessing step, feature extraction and detection step. This paper arranges the methods applied to road sign detection into two groups: general machine learning, neural networks. In...

In this paper a system for off-line traiiic sign detection is shown. Matlab-Image-processing toolbox is used for this purpose. The vision-based traffic sign detection module developed in this work manages 172x352 color images in RGB (Red, Green, Blue) format. The first step in the algorithm is to obtain the gradient image and its vertical edge projection. In a second step, a color and shape ana...

1 Traffic signs are an integral element of any transportation network; however, keeping records of 2 those signs and their conditions is a tedious process, which is both time consuming and labour 3 intensive. As a result, many agencies around the world have been working towards automating the 4 process of sign collection. One form of automation is using remote sensing techniques to extract 5 tr...