The Transportation Research Forum, founded in 1958, is an independent, nonprofit organization of transportation professionals who conduct, use, and benefit from research. Its purpose is to provide an impartial meeting ground for carriers, shippers, government officials, consultants, university researchers, suppliers, and others seeking exchange of information and ideas related to both passenger and freight transportation. More

Abstract. We propose a detection and classification system for various road situations, which is robust to light changes and different road markings. The road curves in an image are described with a Hough Transform, where histograms accumulate the contrast lines for each pixel. The resulting 2D

Abstract. We propose a detection and classification system for various road situations, which is robust to light changes and different road mark-ings. The road curves in an image are described with a Hough Transform, where histograms accumulate the contrast lines for each pixel. The re-sulting 2D

In Queensland, curve related crashes contributed to 63.44 % of fatalities, and 25.17 % required hospitalisation. In addition, 51.1 % of run-off-road crashes occurred on obscured or open-view road curves (Queensland Transport, 2006). This paper presents a conceptual framework for an in

The theory of shaping a transition curves which have employment in road and railroads is object of consideration in professional literature still. Can seem, that solutions existing in the form circled arch, clothoid and cubical parabola do not make fields for new research and investigation

A novel method is presented to detect the roads in Synthetic Aperture Radar (SAR) images. In the proposed method, a multi-segmented poly-line model is introduced to provide a description of road curve. Then the roads in SAR images are extracted utilizing the above model. The Particle Filter

of locating curved and parallel road edges in radar data that are acquired from an imaging p...

The Problem: Accidents on horizontal curves are a cause for concern in all countries, whatever the level of development of their road system. A recent study has found that in Denmark, about 20 % of all personal injury accidents and 13 % of all fatal accidents occur on curves in rural areas

The c0.te~s ofthis repor ~ refle ~ the views ~ the ~eL~h~rs, who m responsible for the facts ae ~ the ~ccumc ~ of the ieformatb ~ presented herein. This document is ~sseminated under the sponsorship of the Department of Transpor~ion, Li~ersil ~ Transportation Center ~ Program, in the ~nterest of inforrn~on e~chan~e. The ~.S. Govemmen ~ essume ~ no

We present an algorithm that extracts the largest shape within a specific class, starting from a set of image edgels. The algorithm inherits the Best-First Segmentation approach [1]. However, instead of being applicable only to shapes defined within a given class of curves, we have extended our