{"title":"车辆动力学模型在线有效性监测","authors":"Stephan Rhode, J. Keler","doi":"10.1109/ICCVE45908.2019.8965162","DOIUrl":null,"url":null,"abstract":"This paper presents a method to measure the degree of validity of vehicle dynamics models during run time in a computational efficient way. The method is called online validity monitor and is constructed as follows. First, the characteristic validation error distribution of a vehicle dynamics model is stored. Second, during run time, an error distribution is recorded via a circular buffer. Third, the distance between stored and run time error distribution is taken as a measure to detect if the model operates in its validated domain.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Online validity monitor for vehicle dynamics models\",\"authors\":\"Stephan Rhode, J. Keler\",\"doi\":\"10.1109/ICCVE45908.2019.8965162\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method to measure the degree of validity of vehicle dynamics models during run time in a computational efficient way. The method is called online validity monitor and is constructed as follows. First, the characteristic validation error distribution of a vehicle dynamics model is stored. Second, during run time, an error distribution is recorded via a circular buffer. Third, the distance between stored and run time error distribution is taken as a measure to detect if the model operates in its validated domain.\",\"PeriodicalId\":384049,\"journal\":{\"name\":\"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCVE45908.2019.8965162\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVE45908.2019.8965162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online validity monitor for vehicle dynamics models
This paper presents a method to measure the degree of validity of vehicle dynamics models during run time in a computational efficient way. The method is called online validity monitor and is constructed as follows. First, the characteristic validation error distribution of a vehicle dynamics model is stored. Second, during run time, an error distribution is recorded via a circular buffer. Third, the distance between stored and run time error distribution is taken as a measure to detect if the model operates in its validated domain.