Lukas Blocher, F. Baklanov, T. Hiller, M. Rocznik, J. Gerlach, O. Bringmann
{"title":"一种增强初始航向估计的实验定位传感器平台","authors":"Lukas Blocher, F. Baklanov, T. Hiller, M. Rocznik, J. Gerlach, O. Bringmann","doi":"10.1109/INERTIAL48129.2020.9090065","DOIUrl":null,"url":null,"abstract":"We present an integrated hardware and sensor fusion development platform consisting of a variety of sensors for attitude, heading, height, position and velocity estimation. Small form factor and low power consumption enable multiple use-cases, including not only land-based but also sea- and air-based applications. The platform allows high-speed data acquisition and algorithm evaluation to gain insights into the particular application’s demands. A required feature for many of those applications is rapid initial heading estimation using redundant data sources. Among those are dual global navigation satellite system (GNSS) receivers and dissimilar MEMS inertial sensors.","PeriodicalId":244190,"journal":{"name":"2020 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Experimental Localization Sensor Platform for Enhanced Initial Heading Estimation\",\"authors\":\"Lukas Blocher, F. Baklanov, T. Hiller, M. Rocznik, J. Gerlach, O. Bringmann\",\"doi\":\"10.1109/INERTIAL48129.2020.9090065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an integrated hardware and sensor fusion development platform consisting of a variety of sensors for attitude, heading, height, position and velocity estimation. Small form factor and low power consumption enable multiple use-cases, including not only land-based but also sea- and air-based applications. The platform allows high-speed data acquisition and algorithm evaluation to gain insights into the particular application’s demands. A required feature for many of those applications is rapid initial heading estimation using redundant data sources. Among those are dual global navigation satellite system (GNSS) receivers and dissimilar MEMS inertial sensors.\",\"PeriodicalId\":244190,\"journal\":{\"name\":\"2020 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INERTIAL48129.2020.9090065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INERTIAL48129.2020.9090065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Experimental Localization Sensor Platform for Enhanced Initial Heading Estimation
We present an integrated hardware and sensor fusion development platform consisting of a variety of sensors for attitude, heading, height, position and velocity estimation. Small form factor and low power consumption enable multiple use-cases, including not only land-based but also sea- and air-based applications. The platform allows high-speed data acquisition and algorithm evaluation to gain insights into the particular application’s demands. A required feature for many of those applications is rapid initial heading estimation using redundant data sources. Among those are dual global navigation satellite system (GNSS) receivers and dissimilar MEMS inertial sensors.