TY - GEN
T1 - Real time detection of lane markers in urban streets
AU - Aly, Mohamed
PY - 2008
Y1 - 2008
N2 - We present a robust and real time approach to lane marker detection in urban streets. It is based on generating a top view of the road, filtering using selective oriented Gaussian filters, using RANSAC line fitting to give initial guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is then followed by a post-processing step. Our algorithm can detect all lanes in still images of the street in various conditions, while operating at a rate of 50 Hz and achieving comparable results to previous techniques.
AB - We present a robust and real time approach to lane marker detection in urban streets. It is based on generating a top view of the road, filtering using selective oriented Gaussian filters, using RANSAC line fitting to give initial guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is then followed by a post-processing step. Our algorithm can detect all lanes in still images of the street in various conditions, while operating at a rate of 50 Hz and achieving comparable results to previous techniques.
UR - http://www.scopus.com/inward/record.url?scp=57749180353&partnerID=8YFLogxK
U2 - 10.1109/IVS.2008.4621152
DO - 10.1109/IVS.2008.4621152
M3 - Conference contribution
AN - SCOPUS:57749180353
SN - 9781424425693
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 7
EP - 12
BT - 2008 IEEE Intelligent Vehicles Symposium, IV
T2 - 2008 IEEE Intelligent Vehicles Symposium, IV
Y2 - 4 June 2008 through 6 June 2008
ER -