{"title":"A new technique for tracking the features of a spatially distributed field for automatic guidance","authors":"J. B. Edwards, R. Iqbal","doi":"10.1109/CCA.1994.381414","DOIUrl":null,"url":null,"abstract":"This paper aims to utilise a model of the surrounding field together with measured data therefrom to locate and orientate an observer. A single valued solution is developed to calculate the position of a vehicle in a continuous field environment described by a known polynomial, from a minimum number of equispaced field measurements taken at that location and known coefficients of the polynomial. Where insufficient measurements from a single scan of the field are available, a formula for utilising extra data from several scans has been produced. The robustness of these algorithm, when the observation process is corrupted by Gaussian white noise, is also addressed.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1994 Proceedings of IEEE International Conference on Control and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.1994.381414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper aims to utilise a model of the surrounding field together with measured data therefrom to locate and orientate an observer. A single valued solution is developed to calculate the position of a vehicle in a continuous field environment described by a known polynomial, from a minimum number of equispaced field measurements taken at that location and known coefficients of the polynomial. Where insufficient measurements from a single scan of the field are available, a formula for utilising extra data from several scans has been produced. The robustness of these algorithm, when the observation process is corrupted by Gaussian white noise, is also addressed.<>