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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bo Tang Chien, S. Chen, Y. |
| Copyright Year | 2014 |
| Description | Author affiliation: Transp. Active Safety Inst., Indiana Univ.-Purdue Univ. Indianapolis, Indianapolis, IN, USA (Bo Tang; Chien, S.; Chen, Y.) |
| Abstract | Forward pedestrian collision imminent braking (CIB) systems has proven to be of great significance in improving road safety and protecting pedestrians. Since pedestrian CIB technology is not mature, the performance of different pedestrian CIB systems varies significantly. Therefore the simulation of a CIB system needs to be vehicle specific. The CIB simulation can be based on the component sensor parameters and decision making rules. Since these parameters and decision rules for on the market vehicles are not available outside of vehicle manufactures, it is difficult for the general research communities to develop a good CIB simulation model based on this approach. To solve this problem, this study presents a new method for developing a pedestrian CIB simulation model using pedestrian CIB testing data. The implementation was in PreScan. The simulation results demonstrate that a pedestrian CIB simulation model developed using this methodology could reflect the behavior of a real vehicle equipped with pedestrian CIB system. |
| Starting Page | 1650 |
| Ending Page | 1655 |
| File Size | 441295 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479960781 |
| DOI | 10.1109/ITSC.2014.6957930 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicles Data models Radar detection Testing Mathematical model Decision making Classification algorithms Pedestrian CIB simulation model Pedestrian Collision Imminent Breaking System |
| Content Type | Text |
| Resource Type | Article |
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