Title :
A method for following unmarked roads
Author :
Ramström, Ola ; Christensen, Henrik
Author_Institution :
Dept. of Numerical Anal. & Comput. Sci., KTH, Stockholm, Sweden
Abstract :
Road-following for ground vehicles has been widely studied and the solutions normally tracks line markings or a salient road edge. Most of the presented approaches are thus based on geometric or spectral models and does a fit of image data to the model to ensure robustness. For operation on unmarked roads under highly varying weather and light conditions a strategy is presented which is based on a probabilistic generative model. The method is evaluated on a number of test scenes and compared to well known methods from the literature.
Keywords :
automated highways; edge detection; feature extraction; road vehicles; tracking; ground vehicles; image features; light condition; line marking tracking; probabilistic generative model; road edge tracking; road shape extraction; unmarked road following; weather condition; Cameras; High performance computing; Image segmentation; Layout; Numerical analysis; Roads; Robustness; Shape; Solid modeling; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium, 2005. Proceedings. IEEE
Print_ISBN :
0-7803-8961-1
DOI :
10.1109/IVS.2005.1505177