{"title":"不同提速鲁棒特征(SURF)算法在无人机姿态估计中的应用","authors":"B. Sheta","doi":"10.5121/IJCSES.2012.3502","DOIUrl":null,"url":null,"abstract":"The UAV industry is growing rapidly in an attempt to serve both military and commercial applications. A crucial aspect in the development of UAVs is the reduction of navigational sensor costs while maintaining accurate navigation. Advances in visual sensor solutions with traditional navigation sensors are proving to be significantly promising in replacing traditional IMU or GPS systems for many mission scenarios.","PeriodicalId":415526,"journal":{"name":"International Journal of Computer Science & Engineering Survey","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Assessments Of Different Speeded Up Robust Features (SURF) Algorithm Resolution For Pose Estimation Of UAV\",\"authors\":\"B. Sheta\",\"doi\":\"10.5121/IJCSES.2012.3502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The UAV industry is growing rapidly in an attempt to serve both military and commercial applications. A crucial aspect in the development of UAVs is the reduction of navigational sensor costs while maintaining accurate navigation. Advances in visual sensor solutions with traditional navigation sensors are proving to be significantly promising in replacing traditional IMU or GPS systems for many mission scenarios.\",\"PeriodicalId\":415526,\"journal\":{\"name\":\"International Journal of Computer Science & Engineering Survey\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Science & Engineering Survey\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/IJCSES.2012.3502\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Science & Engineering Survey","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJCSES.2012.3502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessments Of Different Speeded Up Robust Features (SURF) Algorithm Resolution For Pose Estimation Of UAV
The UAV industry is growing rapidly in an attempt to serve both military and commercial applications. A crucial aspect in the development of UAVs is the reduction of navigational sensor costs while maintaining accurate navigation. Advances in visual sensor solutions with traditional navigation sensors are proving to be significantly promising in replacing traditional IMU or GPS systems for many mission scenarios.