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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bin-Feng Lin Yi-Ming Chan Li-Chen Fu Pei-Yung Hsiao Li-An Chuang Shin-Shinh Huang Min-Fang Lo |
| Copyright Year | 2000 |
| Abstract | Changing lanes while having no information about the blind spot area can be dangerous. We propose a vision-based vehicle detection system for a lane changing assistance system to monitor the potential sedan vehicle in the blind-spot area. To serve our purpose, we select adequate features, which are directly obtained from vehicle images, to detect possible vehicles in the blind-spot area. This is challenging due to the significant change in the view angle of a vehicle along with its location throughout the blind-spot area. To cope with this problem, we propose a method to combine two kinds of part-based features that are related to the characteristics of the vehicle, and we build multiple models based on different viewpoints of a vehicle. The location information of each feature is incorporated to help construct the detector and estimate the reasonable position of the presence of the vehicle. The experiments show that our system is reliable in detecting various sedan vehicles in the blind-spot area. |
| Sponsorship | IEEE Intelligent Transportation Systems Society |
| Starting Page | 737 |
| Ending Page | 747 |
| Page Count | 11 |
| File Size | 1055046 |
| File Format | |
| ISSN | 15249050 |
| Volume Number | 13 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicles Feature extraction Image edge detection Vectors Image segmentation Training Vehicle detection vehicle detection Blind-spot area feature integration spatial relationship |
| Content Type | Text |
| Resource Type | Article |
| Subject | Automotive Engineering Mechanical Engineering Computer Science Applications |
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