DocumentCode
3268997
Title
Lane Boundary Detection and Tracking using NNF and HMM Approaches
Author
Boumediene, M. ; Ouamri, A. ; Dahnoun, N.
Author_Institution
Univ. of Sci. & Technol. of Oran Mohamed Boudiaf, Oran elMnouar
fYear
2007
fDate
13-15 June 2007
Firstpage
1107
Lastpage
1111
Abstract
In this communication we present a new algorithm of lane detection and tracking. In the detection step, from the first frame of a video sequence, a linear-parabolic model is used to smooth the estimated trajectories, obtained by using the NNF approach. In the step of tracking, assuming a small change in the model, we use the HMM to update each parameter of the model. The results obtained are satisfactory.
Keywords
hidden Markov models; image processing; HMM approaches; NNF approach; lane boundary detection; tracking; Boolean functions; Data structures; Hidden Markov models; Intelligent vehicles; Radar detection; Radar tracking; Roads; Target tracking; Trajectory; Vehicle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location
Istanbul
ISSN
1931-0587
Print_ISBN
1-4244-1067-3
Electronic_ISBN
1931-0587
Type
conf
DOI
10.1109/IVS.2007.4290265
Filename
4290265
Link To Document