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A SENSOR FAULT CONTROLLER SCHEME TO ACHIEVE HIGH MEASUREMENT FIDELITY FOR INTELLIGENT VEHICLES, WITH APPLICATIONS TO HEADWAY MAINTENANCE.
| 题名： | A SENSOR FAULT CONTROLLER SCHEME TO ACHIEVE HIGH MEASUREMENT FIDELITY FOR INTELLIGENT VEHICLES, WITH APPLICATIONS TO HEADWAY MAINTENANCE. |
| 作者： | Schneider-Scott-J; Ozguner-Umit |
| 关键词： | Kalman-filtering; advanced-vehicle-control-systems; automotive-sensors; data-fusion; fault-monitoring; speed-control |
| 摘要： | Intelligent Vehicle (IV) systems is a key research area, rooted in the development of safer and more efficient means of PUB Published by: lic transportation. Extensive knowledge about the environment, typically obtained from externally mounted sensors, is often necessary for IV systems to operate. A common problem is the reliability and accuracy of the data received from such sensors, given the harsh conditions they must operate in. This report focuses on the development of a SFCS (sensor fault controller scheme) to achieve high measurement fidelity for IV systems. Methods for data validation, multi-sensor fusion, and fault detection, isolation, and tolerance are contained within the SFCS framework. These processes are grouped into modules that comprise the four tiers of the SFCS framework. The framework itself is modular easily placed into any given system requiring high measurement fidelity. The SFCS framework is applied to the problem of headway maintenance in Advanced Cruise Control systems, using data obtained from the automated vehicles at The Ohio State University. |
| 总页数： | ITS America. Meeting (8th : 1998 : Detroit, Mich.). Transportation technology for tomorrow : conference proceedings. 1998. pp14 |
| 报告类型： | 科技报告 |
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