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View all- Tu CDu S(2018)A Hough Space Feature for Vehicle DetectionAdvances in Visual Computing10.1007/978-3-030-03801-4_14(147-156)Online publication date: 10-Nov-2018
A following behavior detecting method for drive assistance
Authors: 
Chunling Tu, Shengzhi DuAuthors Info & Claims
Article No.: 9, Pages 1 - 5
Abstract
This paper addresses the concern of the following behavior of vehicles. A following behavior detecting method is proposed for alerting victim drivers based on surrounding vehicle trajectories. In order to detect the suspicious vehicle intention, i.e. whether the suspicious vehicle is following the victim vehicle or not, the proposed method analyzes various behavior features. These features are detected according to suspicious vehicle position, velocity and acceleration relative to the host/victim vehicle. A following behavior model is then proposed for intention detection via behavior data analysis. A Neural Network (NN) classifier is employed to validate the proposed behavior model. Experiments show that the proposed method is effective.
References
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Index Terms
- A following behavior detecting method for drive assistance
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Published In
December 2016
358 pages
ISBN:9781450347990
DOI:10.1145/3028842
Copyright © 2016 ACM.
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Sponsors
- Jilin Institute of Chemical Technology: Jilin Institute of Chemical Technology, Jilin, China
- Wanfang Data: Wanfang Data, Beijing, China
- CNKI: CNKI, Beijing, China
- Airiti: Airiti, Taiwan
- Guilin: Guilin University of Technology, Guilin, China
- Wuhan University of Technology: Wuhan University of Technology, Wuhan, China
- Ain Shams University: Ain Shams University, Egypt
- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 23 December 2016
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ICIIP 2016
Sponsor:
- Jilin Institute of Chemical Technology
- Wanfang Data
- CNKI
- Airiti
- Guilin
- Wuhan University of Technology
- Ain Shams University
- International Engineering and Technology Institute, Hong Kong
ICIIP 2016: 2016 International Conference on Intelligent Information Processing
December 23 - 25, 2016
Wuhan, China
Acceptance Rates
ICIIP '16 Paper Acceptance Rate 55 of 165 submissions, 33%;
Overall Acceptance Rate 87 of 367 submissions, 24%
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View all- Tu CDu S(2018)A Hough Space Feature for Vehicle DetectionAdvances in Visual Computing10.1007/978-3-030-03801-4_14(147-156)Online publication date: 10-Nov-2018
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