{"title":"基于轮式机器人前后距离信息的粗糙地形表面强度频域分析","authors":"Jayoung Kim, Jihong Lee","doi":"10.1109/ELINFOCOM.2014.6914395","DOIUrl":null,"url":null,"abstract":"This paper explores a possibility of identifying material types using fore-aft distance information of an ultrasonic sensor which is changed depending on surface strength. Fore-aft distance data are transformed into frequency domain using FFT and frequency data are analyzed for extracting features of a material type. Sensor data are acquired by a testbed for analysis of a wheel-terrain interaction on four types of a surface; asphalt, sand, gravel and grass.","PeriodicalId":360207,"journal":{"name":"2014 International Conference on Electronics, Information and Communications (ICEIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of surface strength in frequency domain using fore-aft distance information of wheeled robots on rough terrain\",\"authors\":\"Jayoung Kim, Jihong Lee\",\"doi\":\"10.1109/ELINFOCOM.2014.6914395\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explores a possibility of identifying material types using fore-aft distance information of an ultrasonic sensor which is changed depending on surface strength. Fore-aft distance data are transformed into frequency domain using FFT and frequency data are analyzed for extracting features of a material type. Sensor data are acquired by a testbed for analysis of a wheel-terrain interaction on four types of a surface; asphalt, sand, gravel and grass.\",\"PeriodicalId\":360207,\"journal\":{\"name\":\"2014 International Conference on Electronics, Information and Communications (ICEIC)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Electronics, Information and Communications (ICEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELINFOCOM.2014.6914395\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Electronics, Information and Communications (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINFOCOM.2014.6914395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of surface strength in frequency domain using fore-aft distance information of wheeled robots on rough terrain
This paper explores a possibility of identifying material types using fore-aft distance information of an ultrasonic sensor which is changed depending on surface strength. Fore-aft distance data are transformed into frequency domain using FFT and frequency data are analyzed for extracting features of a material type. Sensor data are acquired by a testbed for analysis of a wheel-terrain interaction on four types of a surface; asphalt, sand, gravel and grass.
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