ROMA is a database of numerical images easily usable to evaluate in a systematic way the performance of road markings extraction algorithms. It comprises more than 100 original ima...
J.-P. Tarel, P. Nicolle, P. Charbonnier and T. Vei...
Traffic Image database for the evaluation of road signs extraction algorithms. In any publication related to the use of this image database, your are kindly requested to cite the ...
In this paper, we rely on the theory of marked point processes to perform an unsupervised road network extraction from optical and radar images. A road network is modeled by a Mar...
This paper presents a novel method to process large scale, ground level Light Detection and Ranging (LIDAR) data to automatically detect geo-referenced navigation attributes (traf...
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...