Real-time vehicle detection design and implementation on GPU

Vinh Dinh Nguyen; Thuy Tuong Nguyen; Dung Duc Nguyen; Jeon Jae Wook

Real-time vehicle detection design and implementation on GPU

Vinh Dinh Nguyen
, Thuy Tuong Nguyen
, Dung Duc Nguyen
, Jeon Jae Wook

Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Vehicle detection and distance estimation system has become important due to their assistance in reducing vehicle accidents. Therefore, an efficient vehicle detection and distance estimation algorithm using a knowledge-based method and image segmentation technique has been developed. The proposed algorithm can detect and estimate the distance of the preceding vehicle under various road conditions using a single CCD camera of 16 mm and 25 mm focal lenghts mounted on a vehicle. A GPU implementation of this proposed algorithm is introduced to enable our proposed system to support real-time processing. Experimental results under various road and weather conditions prove that our proposed system is suitable for a real-time system.

Original language	English
Title of host publication	ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems
Pages	1287-1292
Number of pages	6
State	Published - 2011
Externally published	Yes
Event	2011 11th International Conference on Control, Automation and Systems, ICCAS 2011 - Gyeonggi-do, Korea, Republic of Duration: 26 Oct 2011 → 29 Oct 2011

Publication series

Name	International Conference on Control, Automation and Systems
ISSN (Print)	1598-7833

Conference

Conference	2011 11th International Conference on Control, Automation and Systems, ICCAS 2011
Country/Territory	Korea, Republic of
City	Gyeonggi-do
Period	26/10/11 → 29/10/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

corner-based method
knowledge-based method
Vehicle detection

Cite this

@inproceedings{3d3a865787fb4715a3f17cfa8223e9ef,

title = "Real-time vehicle detection design and implementation on GPU",

abstract = "Vehicle detection and distance estimation system has become important due to their assistance in reducing vehicle accidents. Therefore, an efficient vehicle detection and distance estimation algorithm using a knowledge-based method and image segmentation technique has been developed. The proposed algorithm can detect and estimate the distance of the preceding vehicle under various road conditions using a single CCD camera of 16 mm and 25 mm focal lenghts mounted on a vehicle. A GPU implementation of this proposed algorithm is introduced to enable our proposed system to support real-time processing. Experimental results under various road and weather conditions prove that our proposed system is suitable for a real-time system.",

keywords = "corner-based method, knowledge-based method, Vehicle detection",

author = "Nguyen, \{Vinh Dinh\} and \{Tuong Nguyen\}, Thuy and \{Duc Nguyen\}, Dung and \{Jae Wook\}, Jeon",

year = "2011",

language = "English",

isbn = "9781457708350",

series = "International Conference on Control, Automation and Systems",

pages = "1287--1292",

booktitle = "ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems",

note = "2011 11th International Conference on Control, Automation and Systems, ICCAS 2011 ; Conference date: 26-10-2011 Through 29-10-2011",

}

Nguyen, VD, Tuong Nguyen, T, Duc Nguyen, D & Jae Wook, J 2011, Real-time vehicle detection design and implementation on GPU. in ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems., 6106123, International Conference on Control, Automation and Systems, pp. 1287-1292, 2011 11th International Conference on Control, Automation and Systems, ICCAS 2011, Gyeonggi-do, Korea, Republic of, 26/10/11.

Real-time vehicle detection design and implementation on GPU. / Nguyen, Vinh Dinh; Tuong Nguyen, Thuy; Duc Nguyen, Dung et al.
ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems. 2011. p. 1287-1292 6106123 (International Conference on Control, Automation and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Real-time vehicle detection design and implementation on GPU

AU - Nguyen, Vinh Dinh

AU - Tuong Nguyen, Thuy

AU - Duc Nguyen, Dung

AU - Jae Wook, Jeon

PY - 2011

Y1 - 2011

N2 - Vehicle detection and distance estimation system has become important due to their assistance in reducing vehicle accidents. Therefore, an efficient vehicle detection and distance estimation algorithm using a knowledge-based method and image segmentation technique has been developed. The proposed algorithm can detect and estimate the distance of the preceding vehicle under various road conditions using a single CCD camera of 16 mm and 25 mm focal lenghts mounted on a vehicle. A GPU implementation of this proposed algorithm is introduced to enable our proposed system to support real-time processing. Experimental results under various road and weather conditions prove that our proposed system is suitable for a real-time system.

AB - Vehicle detection and distance estimation system has become important due to their assistance in reducing vehicle accidents. Therefore, an efficient vehicle detection and distance estimation algorithm using a knowledge-based method and image segmentation technique has been developed. The proposed algorithm can detect and estimate the distance of the preceding vehicle under various road conditions using a single CCD camera of 16 mm and 25 mm focal lenghts mounted on a vehicle. A GPU implementation of this proposed algorithm is introduced to enable our proposed system to support real-time processing. Experimental results under various road and weather conditions prove that our proposed system is suitable for a real-time system.

KW - corner-based method

KW - knowledge-based method

KW - Vehicle detection

UR - https://www.scopus.com/pages/publications/84856541299

M3 - Conference contribution

AN - SCOPUS:84856541299

SN - 9781457708350

T3 - International Conference on Control, Automation and Systems

SP - 1287

EP - 1292

BT - ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems

T2 - 2011 11th International Conference on Control, Automation and Systems, ICCAS 2011

Y2 - 26 October 2011 through 29 October 2011

ER -

Real-time vehicle detection design and implementation on GPU

Abstract

Publication series

Conference

UN SDGs

Keywords

Other files and links

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Cite this