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AN ARCHITECTURE FOR FUZZY SENSOR VALIDATION AND FUSION FOR VEHICLE FOLLOWING IN AUTOMATED HIGHWAYS.
| 题名： | AN ARCHITECTURE FOR FUZZY SENSOR VALIDATION AND FUSION FOR VEHICLE FOLLOWING IN AUTOMATED HIGHWAYS. |
| 作者： | Goebel-K; Agogino-A |
| 关键词： | automated-highways; data-fusion; fuzzy-systems; vehicle-follower-control |
| 摘要： | This paper describes a fuzzy logic based architecture for real time sensor validation and fusion for vehicle following tasks for automated highways. The authors address issues of high sensor data fidelity by proposing to validate and fuse multiple sensor readings using a fuzzy time series prediction model, validation gates, and a weighted average fusion scheme. The integration of these methods allows the assignment of degrees of confidence to each sensor reading. Examples from experiments performed for the California PATH program show that this method works successfully under a variety of operating conditions. |
| 总页数： | International Symposium on Automotive Technology & Automation (29th : 1996 : Florence, Italy). Proceedings of the Conference on Supercomputer Applications in the Transportation Industries. 1996. pp203-209 |
| 报告类型： | 科技报告 |
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