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Content Provider | IEEE Xplore Digital Library |
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Author | Zuther, S. Dietmayer, K. |
Copyright Year | 2009 |
Description | Author affiliation: University of Ulm, Inst. of Measurement, Control and Microtechnology, 89081 Ulm, Germany (Dietmayer, K.) || Daimler AG, Team Short Range Sensing, Group Research & Advanced Engineering, 89081 Ulm, Germany (Zuther, S.) |
Abstract | In this paper a new and flexible 360°-environment sensing system using short range radar sensors and active seat belt pretensioners is presented. To detect critical targets from a wide variety of closing angles, a total of only four radar sensors is used. The number of sensors can be changed, without altering the underlying sensor fusion and target detection algorithms. The challenges of pre-crash systems are presented and the multi-sensor fusion and signal processing algorithms are shown. To be able to react to highly dynamic driving maneuvers, an interacting multiple model filter (IMM) is used. A pre-crash algorithm for 360°-environment sensing is introduced. To verify the system effectiveness, a simple, yet effective, system test has been developed. Test data is gained and evaluated for different critical situations. The presented pre-crash system serves as a basis for new driver assistance and safety functions, which helps to increase overall driving safety, even in dense traffic and urban driving situations. |
Starting Page | 50 |
Ending Page | 55 |
File Size | 875052 |
Page Count | 6 |
File Format | |
ISBN | 9781424454426 |
e-ISBN | 9781424454419 |
DOI | 10.1109/ICVES.2009.5400325 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-11-11 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Signal processing algorithms Radar detection Object detection Signal processing Sensor fusion Belts Radar signal processing Sensor systems Safety Automotive engineering |
Content Type | Text |
Resource Type | Article |
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