{"title":"Cows, buses, people: Context awareness sensing from positioning sensors for improved safety, efficiency and performance","authors":"O. Ogundipe, Yang Gao, Elizabeth Homer","doi":"10.1109/ICL-GNSS.2017.8376256","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376256","url":null,"abstract":"The ability to determine a user's content is important to developing applications which can adapt to the user's need and requirements both in the short term and long term. With the increasing availability of low cost wireless sensors, it is possible to capture a range of observations which can be used for context determination. This also means that the user being monitored is not limited to human subjects alone. This paper will highlight work from three different applications which utilize context awareness sensing. The first project deals with the monitoring of cows for milk production and welfare using UltraWide Band (UWB) technology and inertia sensors. The second investigates indoor positioning for the blind and partially sighted using smart phone sensors. The third looks at monitoring public transport demand and traffic capacity based on GPS and door event sensors on London buses. The tests show some of the strengths and limitations of the sensors and the need for data pre-processing. Using the UWB sensors the mounting activity related to estrus could be detected and the activity or context of the cow determined appropriately. It showed the benefits of context awareness sensing in these different applications.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132020232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Latent force models in autonomous GNSS satellite orbit prediction","authors":"Sakari Rautalin, S. Ali-Löytty, R. Piché","doi":"10.1109/ICL-GNSS.2017.8376242","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376242","url":null,"abstract":"In this paper, we present a method for improving autonomous GNSS satellite orbit prediction accuracy by including latent forces, i.e. forces that are estimated with broadcast ephemeris data. The purpose of autonomous prediction is to reduce the Time to First Fix of a stand-alone positioning device. Our orbit model includes gravity and solar radiation forces and initial state estimation algorithm. We present a state-space model for the latent forces, which are meant to correct the deficiencies of our force model, and we describe how latent forces are incorporated as a part of our prediction algorithm. Using a novel algorithm, where multiple ephemerides are used to estimate the latent forces, the orbit prediction accuracy for GPS, GLONASS and Beidou is significantly improved. For example, for 7-day prediction of GPS satellites, the 68% quantile of SISRE, which is an estimate of positioning accuracy, reduced 37.1%.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128064572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}