Lane boundary detection and tracking using NNF and HMM approaches

M Boumediene, A Ouamri, N Dahnoun

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

15 Citations (Scopus)

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.
Translated title of the contributionLane boundary detection and tracking using NNF and HMM approaches
Original languageEnglish
Title of host publicationIEEE Intelligent Vehicles Symposium 2007, Istanbul
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1107 - 1111
Number of pages5
DOIs
Publication statusPublished - 13 Jun 2007

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