Title :
Robust monocular lane detection in urban environments
Author :
Felisa, Mirko ; Zani, Paolo
Author_Institution :
Dipt. di Ing. dell´´Inf., Univ. degli Studi di Parma, Parma, Italy
Abstract :
An effective lane detection algorithm is a basic, yet fundamental component of both autonomous navigation and advanced road safety systems; this paper presents an approach that produces reliable results exploiting a robust polyline matching technique. The proposed solution has been designed from the ground up so that only very limited hardware resources are required: just one camera is used, and the processing is fast enough to be compatible with mainstream DSP units.
Keywords :
image matching; image sensors; object detection; road safety; traffic engineering computing; advanced road safety systems; autonomous navigation; monocular lane detection; painted road markings; polyline matching technique; urban environments; Alarm systems; Buffer storage; Cameras; Filtering; Image segmentation; Intelligent vehicles; Navigation; Road safety; Robustness; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2010 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-7866-8
DOI :
10.1109/IVS.2010.5548028
