Distance estimation based on disparity analysis for vehicle applications

Yeong Kang Lai; Chiu Ying Ho; Jian Wen Li; Thomas Schumann

doi:10.1109/ICCE-TW.2015.7216808

Distance estimation based on disparity analysis for vehicle applications

Yeong Kang Lai, Chiu Ying Ho, Jian Wen Li, Thomas Schumann

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

2 Scopus citations

Abstract

Stereo vision has been used in many different applications such as robot, entertainment, and car electronics. Disparity-based distance estimation requires a large amount of computational resources because of high block-matching computations, especially on the high-resolution image pair. In this paper, we propose an algorithm for computing the distance between our own driving car and the front car for vehicle collision avoidance applications. Our system is designed to focus on the collision avoidance with the front end object which includes horizontal displacement. Therefore, the target of the front end of system is to find out the position and movement of these objects.

Original language	English
Title of host publication	2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	116-117
Number of pages	2
ISBN (Electronic)	9781479987443
DOIs	https://doi.org/10.1109/ICCE-TW.2015.7216808
State	Published - 20 08 2015
Externally published	Yes
Event	2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, Taiwan Duration: 06 06 2015 → 08 06 2015

Publication series

Name	2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Conference

Conference	2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
Country/Territory	Taiwan
City	Taipei
Period	06/06/15 → 08/06/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Collision avoidance
Estimation
Image edge detection
Image resolution
Real-time systems
Stereo vision
Vehicles

Access to Document

10.1109/ICCE-TW.2015.7216808

Cite this

Lai, Y. K., Ho, C. Y., Li, J. W., & Schumann, T. (2015). Distance estimation based on disparity analysis for vehicle applications. In 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 (pp. 116-117). Article 7216808 (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW.2015.7216808

Lai, Yeong Kang ; Ho, Chiu Ying ; Li, Jian Wen et al. / Distance estimation based on disparity analysis for vehicle applications. 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 116-117 (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015).

@inproceedings{3a32a62c92cc45d8a5c1a7428c789f40,

title = "Distance estimation based on disparity analysis for vehicle applications",

abstract = "Stereo vision has been used in many different applications such as robot, entertainment, and car electronics. Disparity-based distance estimation requires a large amount of computational resources because of high block-matching computations, especially on the high-resolution image pair. In this paper, we propose an algorithm for computing the distance between our own driving car and the front car for vehicle collision avoidance applications. Our system is designed to focus on the collision avoidance with the front end object which includes horizontal displacement. Therefore, the target of the front end of system is to find out the position and movement of these objects.",

keywords = "Collision avoidance, Estimation, Image edge detection, Image resolution, Real-time systems, Stereo vision, Vehicles",

author = "Lai, {Yeong Kang} and Ho, {Chiu Ying} and Li, {Jian Wen} and Thomas Schumann",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 ; Conference date: 06-06-2015 Through 08-06-2015",

year = "2015",

month = aug,

day = "20",

doi = "10.1109/ICCE-TW.2015.7216808",

language = "英语",

series = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "116--117",

booktitle = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",

address = "美国",

}

Lai, YK, Ho, CY, Li, JW & Schumann, T 2015, Distance estimation based on disparity analysis for vehicle applications. in 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015., 7216808, 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015, Institute of Electrical and Electronics Engineers Inc., pp. 116-117, 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015, Taipei, Taiwan, 06/06/15. https://doi.org/10.1109/ICCE-TW.2015.7216808

Distance estimation based on disparity analysis for vehicle applications. / Lai, Yeong Kang; Ho, Chiu Ying; Li, Jian Wen et al.
2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 116-117 7216808 (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015).

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

TY - GEN

T1 - Distance estimation based on disparity analysis for vehicle applications

AU - Lai, Yeong Kang

AU - Ho, Chiu Ying

AU - Li, Jian Wen

AU - Schumann, Thomas

PY - 2015/8/20

Y1 - 2015/8/20

N2 - Stereo vision has been used in many different applications such as robot, entertainment, and car electronics. Disparity-based distance estimation requires a large amount of computational resources because of high block-matching computations, especially on the high-resolution image pair. In this paper, we propose an algorithm for computing the distance between our own driving car and the front car for vehicle collision avoidance applications. Our system is designed to focus on the collision avoidance with the front end object which includes horizontal displacement. Therefore, the target of the front end of system is to find out the position and movement of these objects.

AB - Stereo vision has been used in many different applications such as robot, entertainment, and car electronics. Disparity-based distance estimation requires a large amount of computational resources because of high block-matching computations, especially on the high-resolution image pair. In this paper, we propose an algorithm for computing the distance between our own driving car and the front car for vehicle collision avoidance applications. Our system is designed to focus on the collision avoidance with the front end object which includes horizontal displacement. Therefore, the target of the front end of system is to find out the position and movement of these objects.

KW - Collision avoidance

KW - Estimation

KW - Image edge detection

KW - Image resolution

KW - Real-time systems

KW - Stereo vision

KW - Vehicles

UR - http://www.scopus.com/inward/record.url?scp=84959536056&partnerID=8YFLogxK

U2 - 10.1109/ICCE-TW.2015.7216808

DO - 10.1109/ICCE-TW.2015.7216808

M3 - 会议稿件

AN - SCOPUS:84959536056

T3 - 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

SP - 116

EP - 117

BT - 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Y2 - 6 June 2015 through 8 June 2015

ER -

Lai YK, Ho CY, Li JW, Schumann T. Distance estimation based on disparity analysis for vehicle applications. In 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 116-117. 7216808. (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015). doi: 10.1109/ICCE-TW.2015.7216808

Distance estimation based on disparity analysis for vehicle applications

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this