Intelligent Vehicle Collision Warning System Based on a Deep Learning Approach

Yeong Kang Lai; Yu Hau Huang; Thomas Schumann

doi:10.1109/ICCE-China.2018.8448556

Intelligent Vehicle Collision Warning System Based on a Deep Learning Approach

Yeong Kang Lai, Yu Hau Huang, Thomas Schumann

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

3 Scopus citations

Abstract

Developing vehicle collision warning systems on mobile devices aiming to alert drivers about driving environments, and possible collision with other vehicles has become more and more popular. In these systems, robust and reliable vehicle detection is a critical step. This paper presents a vision-based vehicle detection system using a deep learning approach on mobile platforms. Our focus is on the mobile system with camera which is mounted on the vehicle. Integrating detection with tracking is also discussed to illustrate the benefits of deep learning for vehicle detection. Finally, we present the high efficient experimental results based on mobile device mounted on a car.

Original language	English
Title of host publication	2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538663011
DOIs	https://doi.org/10.1109/ICCE-China.2018.8448556
State	Published - 27 08 2018
Externally published	Yes
Event	5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 - Taichung, Taiwan Duration: 19 05 2018 → 21 05 2018

Publication series

Name	2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

Conference

Conference	5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
Country/Territory	Taiwan
City	Taichung
Period	19/05/18 → 21/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Access to Document

10.1109/ICCE-China.2018.8448556

Cite this

Lai, Y. K., Huang, Y. H., & Schumann, T. (2018). Intelligent Vehicle Collision Warning System Based on a Deep Learning Approach. In 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 Article 8448556 (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-China.2018.8448556

@inproceedings{c924c7fe41a949c1a6be35718386a976,

title = "Intelligent Vehicle Collision Warning System Based on a Deep Learning Approach",

abstract = "Developing vehicle collision warning systems on mobile devices aiming to alert drivers about driving environments, and possible collision with other vehicles has become more and more popular. In these systems, robust and reliable vehicle detection is a critical step. This paper presents a vision-based vehicle detection system using a deep learning approach on mobile platforms. Our focus is on the mobile system with camera which is mounted on the vehicle. Integrating detection with tracking is also discussed to illustrate the benefits of deep learning for vehicle detection. Finally, we present the high efficient experimental results based on mobile device mounted on a car.",

author = "Lai, {Yeong Kang} and Huang, {Yu Hau} and Thomas Schumann",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 ; Conference date: 19-05-2018 Through 21-05-2018",

year = "2018",

month = aug,

day = "27",

doi = "10.1109/ICCE-China.2018.8448556",

language = "英语",

isbn = "9781538663011",

series = "2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018",

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

booktitle = "2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018",

address = "美国",

}

Lai, YK, Huang, YH & Schumann, T 2018, Intelligent Vehicle Collision Warning System Based on a Deep Learning Approach. in 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018., 8448556, 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018, Institute of Electrical and Electronics Engineers Inc., 5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018, Taichung, Taiwan, 19/05/18. https://doi.org/10.1109/ICCE-China.2018.8448556

Intelligent Vehicle Collision Warning System Based on a Deep Learning Approach. / Lai, Yeong Kang; Huang, Yu Hau; Schumann, Thomas.
2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8448556 (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018).

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

TY - GEN

T1 - Intelligent Vehicle Collision Warning System Based on a Deep Learning Approach

AU - Lai, Yeong Kang

AU - Huang, Yu Hau

AU - Schumann, Thomas

PY - 2018/8/27

Y1 - 2018/8/27

N2 - Developing vehicle collision warning systems on mobile devices aiming to alert drivers about driving environments, and possible collision with other vehicles has become more and more popular. In these systems, robust and reliable vehicle detection is a critical step. This paper presents a vision-based vehicle detection system using a deep learning approach on mobile platforms. Our focus is on the mobile system with camera which is mounted on the vehicle. Integrating detection with tracking is also discussed to illustrate the benefits of deep learning for vehicle detection. Finally, we present the high efficient experimental results based on mobile device mounted on a car.

AB - Developing vehicle collision warning systems on mobile devices aiming to alert drivers about driving environments, and possible collision with other vehicles has become more and more popular. In these systems, robust and reliable vehicle detection is a critical step. This paper presents a vision-based vehicle detection system using a deep learning approach on mobile platforms. Our focus is on the mobile system with camera which is mounted on the vehicle. Integrating detection with tracking is also discussed to illustrate the benefits of deep learning for vehicle detection. Finally, we present the high efficient experimental results based on mobile device mounted on a car.

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U2 - 10.1109/ICCE-China.2018.8448556

DO - 10.1109/ICCE-China.2018.8448556

M3 - 会议稿件

AN - SCOPUS:85053872142

SN - 9781538663011

T3 - 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

BT - 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

Y2 - 19 May 2018 through 21 May 2018

ER -

Lai YK, Huang YH, Schumann T. Intelligent Vehicle Collision Warning System Based on a Deep Learning Approach. In 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8448556. (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018). doi: 10.1109/ICCE-China.2018.8448556

Intelligent Vehicle Collision Warning System Based on a Deep Learning Approach

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