A novel lane feature extraction algorithm implemented on the TMS320DM6437 DSP platform

Y Wang; N Dahnoun; AM Achim

doi:10.1109/ICDSP.2009.5201242

A novel lane feature extraction algorithm implemented on the TMS320DM6437 DSP platform

Y Wang, N Dahnoun, AM Achim

Department of Electrical & Electronic Engineering

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

6 Citations (Scopus)

574 Downloads (Pure)

Abstract

This paper presents an implementation of a novel lane edge feature extraction algorithm based on digital interpolation. The method is based on the observation that by zooming towards the vanishing point, the positions and the sizes of the lanes will not change significantly while other objects will. Comparing the zoomed image with the original image allows us to remove most of the unwanted features from the lane feature map. The proposed algorithm shows outstanding performance on extracting features belonging solely to the lanes embedded in severe noise environment. The algorithm runs in real-time on the TMS320DM6437 DSP platform from Texas Instruments. The system implemented can achieve at least 23 fps, without performing any code optimisation but only considering memory management.

Translated title of the contribution	A novel lane feature extraction algorithm implemented on the TMS320DM6437 DSP platform
Original language	English
Title of host publication	16th International Conference on Digital Signal Processing, 2009, Santorini, Greece
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1 - 6
Number of pages	6
ISBN (Print)	9781424432974
DOIs	https://doi.org/10.1109/ICDSP.2009.5201242
Publication status	Published - Jul 2009
Event	16th International Conference on Digital Signal Processing - Santorini, Greece Duration: 1 Jul 2009 → …

Conference

Conference	16th International Conference on Digital Signal Processing
Country/Territory	Greece
City	Santorini
Period	1/07/09 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: A. Achim was supported in part by the European Science Foundation through the COST Action TU0702

Terms of use: Copyright © 2009 IEEE. Reprinted from IEEE 16th International Conference on
Digital Signal Processing, 2009.

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Research Groups and Themes

Photonics and Quantum

Keywords

lane detection
feature extraction
DSP implementation
digital interpolation

Access to Document

10.1109/ICDSP.2009.5201242

Wang IEEE DSP 2009Accepted author manuscript, 587 KB

http://hdl.handle.net/1983/1644

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Cite this

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title = "A novel lane feature extraction algorithm implemented on the TMS320DM6437 DSP platform",

abstract = "This paper presents an implementation of a novel lane edge feature extraction algorithm based on digital interpolation. The method is based on the observation that by zooming towards the vanishing point, the positions and the sizes of the lanes will not change significantly while other objects will. Comparing the zoomed image with the original image allows us to remove most of the unwanted features from the lane feature map. The proposed algorithm shows outstanding performance on extracting features belonging solely to the lanes embedded in severe noise environment. The algorithm runs in real-time on the TMS320DM6437 DSP platform from Texas Instruments. The system implemented can achieve at least 23 fps, without performing any code optimisation but only considering memory management.",

keywords = "lane detection, feature extraction, DSP implementation, digital interpolation",

author = "Y Wang and N Dahnoun and AM Achim",

note = "Rose publication type: Conference contribution Sponsorship: A. Achim was supported in part by the European Science Foundation through the COST Action TU0702 Terms of use: Copyright {\textcopyright} 2009 IEEE. Reprinted from IEEE 16th International Conference on Digital Signal Processing, 2009. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; 16th International Conference on Digital Signal Processing ; Conference date: 01-07-2009",

year = "2009",

month = jul,

doi = "10.1109/ICDSP.2009.5201242",

language = "English",

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pages = "1 -- 6",

booktitle = "16th International Conference on Digital Signal Processing, 2009, Santorini, Greece",

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

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Wang, Y, Dahnoun, N & Achim, AM 2009, A novel lane feature extraction algorithm implemented on the TMS320DM6437 DSP platform. in 16th International Conference on Digital Signal Processing, 2009, Santorini, Greece. Institute of Electrical and Electronics Engineers (IEEE), pp. 1 - 6, 16th International Conference on Digital Signal Processing, Santorini, Greece, 1/07/09. https://doi.org/10.1109/ICDSP.2009.5201242

A novel lane feature extraction algorithm implemented on the TMS320DM6437 DSP platform. / Wang, Y; Dahnoun, N ; Achim, AM.
16th International Conference on Digital Signal Processing, 2009, Santorini, Greece. Institute of Electrical and Electronics Engineers (IEEE), 2009. p. 1 - 6.

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

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AU - Achim, AM

N1 - Rose publication type: Conference contribution Sponsorship: A. Achim was supported in part by the European Science Foundation through the COST Action TU0702 Terms of use: Copyright © 2009 IEEE. Reprinted from IEEE 16th International Conference on Digital Signal Processing, 2009. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2009/7

Y1 - 2009/7

N2 - This paper presents an implementation of a novel lane edge feature extraction algorithm based on digital interpolation. The method is based on the observation that by zooming towards the vanishing point, the positions and the sizes of the lanes will not change significantly while other objects will. Comparing the zoomed image with the original image allows us to remove most of the unwanted features from the lane feature map. The proposed algorithm shows outstanding performance on extracting features belonging solely to the lanes embedded in severe noise environment. The algorithm runs in real-time on the TMS320DM6437 DSP platform from Texas Instruments. The system implemented can achieve at least 23 fps, without performing any code optimisation but only considering memory management.

AB - This paper presents an implementation of a novel lane edge feature extraction algorithm based on digital interpolation. The method is based on the observation that by zooming towards the vanishing point, the positions and the sizes of the lanes will not change significantly while other objects will. Comparing the zoomed image with the original image allows us to remove most of the unwanted features from the lane feature map. The proposed algorithm shows outstanding performance on extracting features belonging solely to the lanes embedded in severe noise environment. The algorithm runs in real-time on the TMS320DM6437 DSP platform from Texas Instruments. The system implemented can achieve at least 23 fps, without performing any code optimisation but only considering memory management.

KW - lane detection

KW - feature extraction

KW - DSP implementation

KW - digital interpolation

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DO - 10.1109/ICDSP.2009.5201242

M3 - Conference Contribution (Conference Proceeding)

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BT - 16th International Conference on Digital Signal Processing, 2009, Santorini, Greece

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Y2 - 1 July 2009

ER -

A novel lane feature extraction algorithm implemented on the TMS320DM6437 DSP platform

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Keywords

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