{"title":"Large area indoor tracking for industrial augmented reality","authors":"Fabian Scheer, S. Müller","doi":"10.1109/ISMAR.2010.5643601","DOIUrl":null,"url":null,"abstract":"A precise tracking with minimal setup times, minimal changes to the environment and acceptable costs, satisfying industrial demands in large factory buildings is still a challenging task for augmented reality(AR) applications. We present a system to determine the pose for monitor based AR systems in large indoor environments, e.g. 200 – 200 meters and more. An infrared laser detects retroreflective targets and computes a 2D position and orientation based on the information of a preprocessed map of the targets. Based on this information the 6D pose of a video camera attached to a servo motor, that is further mounted on a mobile cart is obtained by identifying the transformation between the laser scanner and the several adjustable views of the camera through a calibration method. The adjustable steps of the servo motor are limited to a discrete number of steps to limit the calibration effort. The positional accuracy of the system is estimated by error propagation and presented.","PeriodicalId":250608,"journal":{"name":"2010 IEEE International Symposium on Mixed and Augmented Reality","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Symposium on Mixed and Augmented Reality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMAR.2010.5643601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A precise tracking with minimal setup times, minimal changes to the environment and acceptable costs, satisfying industrial demands in large factory buildings is still a challenging task for augmented reality(AR) applications. We present a system to determine the pose for monitor based AR systems in large indoor environments, e.g. 200 – 200 meters and more. An infrared laser detects retroreflective targets and computes a 2D position and orientation based on the information of a preprocessed map of the targets. Based on this information the 6D pose of a video camera attached to a servo motor, that is further mounted on a mobile cart is obtained by identifying the transformation between the laser scanner and the several adjustable views of the camera through a calibration method. The adjustable steps of the servo motor are limited to a discrete number of steps to limit the calibration effort. The positional accuracy of the system is estimated by error propagation and presented.