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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Coelingh, E. Eidehall, A. Bengtsson, M. |
| Copyright Year | 2010 |
| Description | Author affiliation: Volvo Car Corporation, Active Safety Functions Department, PV4A, SE 40531 Gothenburg, Sweden (Coelingh, E.; Eidehall, A.; Bengtsson, M.) |
| Abstract | More and more vehicles are being equipped with Automatic Emergency Braking (AEB) systems. These systems intend to help the driver avoid or mitigate accidents by automatically applying the brakes prior to an accident. Initially only rear-end collision were addressed but over time more accident types are incorporated and brakes are applied earlier and stronger, in order to increase the velocity reduction before the accident occurs. This paper describes one of the latest AEB systems called Collision Warning with Full Auto Brake and Pedestrian Detection (CWAB-PD). It helps the driver with avoiding both rear-end and pedestrian accidents by providing a warning and, if necessary, automatic braking using full braking power. A limited set of accident scenarios is selected to illustrate the theoretical and practical performance of this system. It is shown that the CWAB-PD system can avoid accidents up to 35 km/h and can mitigate accidents achieving an impact speed reduction of 35 km/h. To the best of the authors knowledge CWAB-PD is the only system on the market that automatically can avoid accidents with pedestrians. |
| Starting Page | 155 |
| Ending Page | 160 |
| File Size | 686563 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424476572 |
| ISSN | 21530017 |
| e-ISBN | 9781424476596 |
| DOI | 10.1109/ITSC.2010.5625077 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-19 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicles Accidents Safety Lead Driver circuits Collision avoidance Roads |
| Content Type | Text |
| Resource Type | Article |
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