J. B. Abesamis, Alecsandra Marie F. Mediodia, Cris Joshua M. Akol, Roselyn Patricia M. Quesea, E. Sybingco
{"title":"用于洪水搜索的遥控水陆穿越车","authors":"J. B. Abesamis, Alecsandra Marie F. Mediodia, Cris Joshua M. Akol, Roselyn Patricia M. Quesea, E. Sybingco","doi":"10.1109/HNICEM.2014.7016252","DOIUrl":null,"url":null,"abstract":"A remote controlled robot that can traverse on land and water with human detection for flood search operation has been made to aid rescuers and volunteers in conducting search operations. The robot can traverse on water and different types of terrain, namely wooden floor, cement, rocks and mud. It can handle an additional load of less than 8 lbs and a water current of 0.385 meters per second. It can be controlled of up to a distance of 290 meters, line-of-sight. The human detection algorithm achieved an accuracy of 93.6 percent in terms of detecting unique ROI for every set of 15 frames.","PeriodicalId":309548,"journal":{"name":"2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A remote-controlled land and water traversing vehicle for flood search operation\",\"authors\":\"J. B. Abesamis, Alecsandra Marie F. Mediodia, Cris Joshua M. Akol, Roselyn Patricia M. Quesea, E. Sybingco\",\"doi\":\"10.1109/HNICEM.2014.7016252\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A remote controlled robot that can traverse on land and water with human detection for flood search operation has been made to aid rescuers and volunteers in conducting search operations. The robot can traverse on water and different types of terrain, namely wooden floor, cement, rocks and mud. It can handle an additional load of less than 8 lbs and a water current of 0.385 meters per second. It can be controlled of up to a distance of 290 meters, line-of-sight. The human detection algorithm achieved an accuracy of 93.6 percent in terms of detecting unique ROI for every set of 15 frames.\",\"PeriodicalId\":309548,\"journal\":{\"name\":\"2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HNICEM.2014.7016252\",\"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 Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM.2014.7016252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A remote-controlled land and water traversing vehicle for flood search operation
A remote controlled robot that can traverse on land and water with human detection for flood search operation has been made to aid rescuers and volunteers in conducting search operations. The robot can traverse on water and different types of terrain, namely wooden floor, cement, rocks and mud. It can handle an additional load of less than 8 lbs and a water current of 0.385 meters per second. It can be controlled of up to a distance of 290 meters, line-of-sight. The human detection algorithm achieved an accuracy of 93.6 percent in terms of detecting unique ROI for every set of 15 frames.