Lane boundary detection and tracking using NNF and HMM approaches

M Boumediene; A Ouamri; N Dahnoun

doi:10.1109/IVS.2007.4290265

Lane boundary detection and tracking using NNF and HMM approaches

M Boumediene, A Ouamri, N Dahnoun

Department of Electrical & Electronic Engineering

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

17 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 contribution	Lane boundary detection and tracking using NNF and HMM approaches
Original language	English
Title of host publication	IEEE Intelligent Vehicles Symposium 2007, Istanbul
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1107 - 1111
Number of pages	5
DOIs	https://doi.org/10.1109/IVS.2007.4290265
Publication status	Published - 13 Jun 2007

Research Groups and Themes

Photonics and Quantum

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@inproceedings{3f1e1761caa3494dbc07ad64bd801a5c,

title = "Lane boundary detection and tracking using NNF and HMM approaches",

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.",

author = "M Boumediene and A Ouamri and N Dahnoun",

year = "2007",

month = jun,

day = "13",

doi = "10.1109/IVS.2007.4290265",

language = "English",

pages = "1107 -- 1111",

booktitle = "IEEE Intelligent Vehicles Symposium 2007, Istanbul",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

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TY - GEN

T1 - Lane boundary detection and tracking using NNF and HMM approaches

AU - Boumediene, M

AU - Ouamri, A

AU - Dahnoun, N

PY - 2007/6/13

Y1 - 2007/6/13

N2 - 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.

AB - 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.

U2 - 10.1109/IVS.2007.4290265

DO - 10.1109/IVS.2007.4290265

M3 - Conference Contribution (Conference Proceeding)

SP - 1107

EP - 1111

BT - IEEE Intelligent Vehicles Symposium 2007, Istanbul

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Lane boundary detection and tracking using NNF and HMM approaches

Abstract

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