Philipp Steinemann, J. Klappstein, J. Dickmann, Hans-Joachim Wünsche, F. V. Hundelshausen
{"title":"Determining the outline contour of vehicles in 3D-LIDAR-measurements","authors":"Philipp Steinemann, J. Klappstein, J. Dickmann, Hans-Joachim Wünsche, F. V. Hundelshausen","doi":"10.1109/IVS.2011.5940498","DOIUrl":null,"url":null,"abstract":"This paper presents a novel and robust method to determine the outline contour of vehicles in 3D-LIDAR (Light Detection and Ranging) measurements. To calculate the outline contour, a vehicle is described by its geometrical properties. These properties are used as constraints to fit a surface to unordered, scattered and error-contaminated 3D measurements. The surface can be used to calculate a corresponding 2D outline contour. The algorithm is tested with two different laser scanners. One scanner has 64, the other only 4 layers.","PeriodicalId":117811,"journal":{"name":"2011 IEEE Intelligent Vehicles Symposium (IV)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Intelligent Vehicles Symposium (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2011.5940498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper presents a novel and robust method to determine the outline contour of vehicles in 3D-LIDAR (Light Detection and Ranging) measurements. To calculate the outline contour, a vehicle is described by its geometrical properties. These properties are used as constraints to fit a surface to unordered, scattered and error-contaminated 3D measurements. The surface can be used to calculate a corresponding 2D outline contour. The algorithm is tested with two different laser scanners. One scanner has 64, the other only 4 layers.