{"title":"基于振动响应观测的车辆载荷估计","authors":"P. Robertson, W. B. Coney, R. Bobrow","doi":"10.1109/AIPR.2010.5759718","DOIUrl":null,"url":null,"abstract":"The suspension systems of production automobiles and trucks are designed to support the comfort and safety of human occupants. The response of these vehicles to the road surface is a function of vehicle loading. In this research we demonstrate the automatic monitoring of vehicle load using an optical sensor and a speed bump. This paper investigates the dynamics of vehicle response and describes the software developed to extract vibrational information from video.","PeriodicalId":128378,"journal":{"name":"2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Vehicle load estimation from observation of vibration response\",\"authors\":\"P. Robertson, W. B. Coney, R. Bobrow\",\"doi\":\"10.1109/AIPR.2010.5759718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The suspension systems of production automobiles and trucks are designed to support the comfort and safety of human occupants. The response of these vehicles to the road surface is a function of vehicle loading. In this research we demonstrate the automatic monitoring of vehicle load using an optical sensor and a speed bump. This paper investigates the dynamics of vehicle response and describes the software developed to extract vibrational information from video.\",\"PeriodicalId\":128378,\"journal\":{\"name\":\"2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIPR.2010.5759718\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2010.5759718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vehicle load estimation from observation of vibration response
The suspension systems of production automobiles and trucks are designed to support the comfort and safety of human occupants. The response of these vehicles to the road surface is a function of vehicle loading. In this research we demonstrate the automatic monitoring of vehicle load using an optical sensor and a speed bump. This paper investigates the dynamics of vehicle response and describes the software developed to extract vibrational information from video.
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