Front moving object detection for car collision avoidance applications

Yeong Kang Lai; Yao Hsien Huang; Chih Ming Hwang

doi:10.1109/ICCE.2016.7430650

Front moving object detection for car collision avoidance applications

Yeong Kang Lai
, Yao Hsien Huang
, Chih Ming Hwang

National Chung Hsing University

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

6 Scopus citations

Abstract

This paper proposed a technique to avoid collisions in the image sequences captured by stereo camera. It has to filter out the independently moving objects by performing ego-motion computation of the vehicle, so that the front moving objects and possible dangerous conditions may be detected using this collision avoidance system. The stereo computation generated the sparse disparity map of the object, and the feature tracker generated the optical flow. Then, it can obtain the three-dimensional position and three-dimensional motion of independently moving objects. After finding out the independently moving objects, it can estimate the positions and motion directions of objects in next frame. This chip is implemented using 90 nm CMOS process with power consumption 7.85mW@346 MHz. Moreover, the chip can process the 1080P resolution, and its gate count is 12.1k only.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics, ICCE 2016
Editors	Francisco J. Bellido, Nicholas C. H. Vun, Carsten Dolar, Daniel Diaz-Sanchez, Wing-Kuen Ling
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	367-368
Number of pages	2
ISBN (Electronic)	9781467383646
DOIs	https://doi.org/10.1109/ICCE.2016.7430650
State	Published - 10 03 2016
Externally published	Yes
Event	2016 IEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States Duration: 07 01 2016 → 11 01 2016

Publication series

Name	2016 IEEE International Conference on Consumer Electronics, ICCE 2016

Conference

Conference	2016 IEEE International Conference on Consumer Electronics, ICCE 2016
Country/Territory	United States
City	Las Vegas
Period	07/01/16 → 11/01/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

UN SDGs

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

Access to Document

10.1109/ICCE.2016.7430650

Cite this

Lai, Y. K., Huang, Y. H., & Hwang, C. M. (2016). Front moving object detection for car collision avoidance applications. In F. J. Bellido, N. C. H. Vun, C. Dolar, D. Diaz-Sanchez, & W.-K. Ling (Eds.), 2016 IEEE International Conference on Consumer Electronics, ICCE 2016 (pp. 367-368). Article 7430650 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2016.7430650

Lai, Yeong Kang ; Huang, Yao Hsien ; Hwang, Chih Ming. / Front moving object detection for car collision avoidance applications. 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. editor / Francisco J. Bellido ; Nicholas C. H. Vun ; Carsten Dolar ; Daniel Diaz-Sanchez ; Wing-Kuen Ling. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 367-368 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016).

@inproceedings{26b2fec3df23489897bc04a2bdbbd8ba,

title = "Front moving object detection for car collision avoidance applications",

abstract = "This paper proposed a technique to avoid collisions in the image sequences captured by stereo camera. It has to filter out the independently moving objects by performing ego-motion computation of the vehicle, so that the front moving objects and possible dangerous conditions may be detected using this collision avoidance system. The stereo computation generated the sparse disparity map of the object, and the feature tracker generated the optical flow. Then, it can obtain the three-dimensional position and three-dimensional motion of independently moving objects. After finding out the independently moving objects, it can estimate the positions and motion directions of objects in next frame. This chip is implemented using 90 nm CMOS process with power consumption 7.85mW@346 MHz. Moreover, the chip can process the 1080P resolution, and its gate count is 12.1k only.",

author = "Lai, \{Yeong Kang\} and Huang, \{Yao Hsien\} and Hwang, \{Chih Ming\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Consumer Electronics, ICCE 2016 ; Conference date: 07-01-2016 Through 11-01-2016",

year = "2016",

month = mar,

day = "10",

doi = "10.1109/ICCE.2016.7430650",

language = "英语",

series = "2016 IEEE International Conference on Consumer Electronics, ICCE 2016",

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

pages = "367--368",

editor = "Bellido, \{Francisco J.\} and Vun, \{Nicholas C. H.\} and Carsten Dolar and Daniel Diaz-Sanchez and Wing-Kuen Ling",

booktitle = "2016 IEEE International Conference on Consumer Electronics, ICCE 2016",

address = "美国",

}

Lai, YK, Huang, YH & Hwang, CM 2016, Front moving object detection for car collision avoidance applications. in FJ Bellido, NCH Vun, C Dolar, D Diaz-Sanchez & W-K Ling (eds), 2016 IEEE International Conference on Consumer Electronics, ICCE 2016., 7430650, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 367-368, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016, Las Vegas, United States, 07/01/16. https://doi.org/10.1109/ICCE.2016.7430650

Front moving object detection for car collision avoidance applications. / Lai, Yeong Kang; Huang, Yao Hsien; Hwang, Chih Ming.
2016 IEEE International Conference on Consumer Electronics, ICCE 2016. ed. / Francisco J. Bellido; Nicholas C. H. Vun; Carsten Dolar; Daniel Diaz-Sanchez; Wing-Kuen Ling. Institute of Electrical and Electronics Engineers Inc., 2016. p. 367-368 7430650 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016).

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

TY - GEN

T1 - Front moving object detection for car collision avoidance applications

AU - Lai, Yeong Kang

AU - Huang, Yao Hsien

AU - Hwang, Chih Ming

PY - 2016/3/10

Y1 - 2016/3/10

N2 - This paper proposed a technique to avoid collisions in the image sequences captured by stereo camera. It has to filter out the independently moving objects by performing ego-motion computation of the vehicle, so that the front moving objects and possible dangerous conditions may be detected using this collision avoidance system. The stereo computation generated the sparse disparity map of the object, and the feature tracker generated the optical flow. Then, it can obtain the three-dimensional position and three-dimensional motion of independently moving objects. After finding out the independently moving objects, it can estimate the positions and motion directions of objects in next frame. This chip is implemented using 90 nm CMOS process with power consumption 7.85mW@346 MHz. Moreover, the chip can process the 1080P resolution, and its gate count is 12.1k only.

AB - This paper proposed a technique to avoid collisions in the image sequences captured by stereo camera. It has to filter out the independently moving objects by performing ego-motion computation of the vehicle, so that the front moving objects and possible dangerous conditions may be detected using this collision avoidance system. The stereo computation generated the sparse disparity map of the object, and the feature tracker generated the optical flow. Then, it can obtain the three-dimensional position and three-dimensional motion of independently moving objects. After finding out the independently moving objects, it can estimate the positions and motion directions of objects in next frame. This chip is implemented using 90 nm CMOS process with power consumption 7.85mW@346 MHz. Moreover, the chip can process the 1080P resolution, and its gate count is 12.1k only.

UR - https://www.scopus.com/pages/publications/84965108924

U2 - 10.1109/ICCE.2016.7430650

DO - 10.1109/ICCE.2016.7430650

M3 - 会议稿件

AN - SCOPUS:84965108924

T3 - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016

SP - 367

EP - 368

BT - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016

A2 - Bellido, Francisco J.

A2 - Vun, Nicholas C. H.

A2 - Dolar, Carsten

A2 - Diaz-Sanchez, Daniel

A2 - Ling, Wing-Kuen

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016

Y2 - 7 January 2016 through 11 January 2016

ER -

Lai YK, Huang YH, Hwang CM. Front moving object detection for car collision avoidance applications. In Bellido FJ, Vun NCH, Dolar C, Diaz-Sanchez D, Ling WK, editors, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 367-368. 7430650. (2016 IEEE International Conference on Consumer Electronics, ICCE 2016). doi: 10.1109/ICCE.2016.7430650

Front moving object detection for car collision avoidance applications

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this