{"title":"先进的三维挂车姿态估计铰接式车辆","authors":"Christian Fuchs, F. Neuhaus, D. Paulus","doi":"10.1109/IVS.2015.7225688","DOIUrl":null,"url":null,"abstract":"When crafting driver assistance systems designed for truck/trailer combinations, knowledge about the position and orientation of a truck relative to the attached trailer is a vital prerequisite for any kinematic calculation and trajectory estimation. An advanced optical sensor system measuring the 3-D state of an attached two-axle trailer is proposed in this publication. It uses a Kalman filter for enhanced pose estimation and is evaluated against previous versions of the sensor system for the same purpose.","PeriodicalId":294701,"journal":{"name":"2015 IEEE Intelligent Vehicles Symposium (IV)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Advanced 3-D trailer pose estimation for articulated vehicles\",\"authors\":\"Christian Fuchs, F. Neuhaus, D. Paulus\",\"doi\":\"10.1109/IVS.2015.7225688\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When crafting driver assistance systems designed for truck/trailer combinations, knowledge about the position and orientation of a truck relative to the attached trailer is a vital prerequisite for any kinematic calculation and trajectory estimation. An advanced optical sensor system measuring the 3-D state of an attached two-axle trailer is proposed in this publication. It uses a Kalman filter for enhanced pose estimation and is evaluated against previous versions of the sensor system for the same purpose.\",\"PeriodicalId\":294701,\"journal\":{\"name\":\"2015 IEEE Intelligent Vehicles Symposium (IV)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Intelligent Vehicles Symposium (IV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2015.7225688\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Intelligent Vehicles Symposium (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2015.7225688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advanced 3-D trailer pose estimation for articulated vehicles
When crafting driver assistance systems designed for truck/trailer combinations, knowledge about the position and orientation of a truck relative to the attached trailer is a vital prerequisite for any kinematic calculation and trajectory estimation. An advanced optical sensor system measuring the 3-D state of an attached two-axle trailer is proposed in this publication. It uses a Kalman filter for enhanced pose estimation and is evaluated against previous versions of the sensor system for the same purpose.