{"title":"基于双目视觉的无人机低空飞行","authors":"Feng Wang","doi":"10.1109/ICNISC.2017.00067","DOIUrl":null,"url":null,"abstract":"At present, there are two problems in the low-altitude and low-speed state of the civil unmanned aerial vehicle (UAV), and there are two problems in this state. First, there is security when the UAV takes off and landing. Hidden danger, and second, low-altitude low-speed UAV flight stability and object distance recognition. In view of the above problems, this paper presents a method based on the principle of binocular recognition, and uses the binocular recognition image processing technology to construct the fuzzy artificial identification range system, and improves the low altitude complex environment control algorithm. Experiments show that the program to improve the aircraft low-altitude low-speed flight performance, making the UAV can achieve a range of 2 meters obstruction unmanned flight within 1 meter range of fixed-point landing.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"UAV Flight at Low Altitude Based on Binocular Vision\",\"authors\":\"Feng Wang\",\"doi\":\"10.1109/ICNISC.2017.00067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present, there are two problems in the low-altitude and low-speed state of the civil unmanned aerial vehicle (UAV), and there are two problems in this state. First, there is security when the UAV takes off and landing. Hidden danger, and second, low-altitude low-speed UAV flight stability and object distance recognition. In view of the above problems, this paper presents a method based on the principle of binocular recognition, and uses the binocular recognition image processing technology to construct the fuzzy artificial identification range system, and improves the low altitude complex environment control algorithm. Experiments show that the program to improve the aircraft low-altitude low-speed flight performance, making the UAV can achieve a range of 2 meters obstruction unmanned flight within 1 meter range of fixed-point landing.\",\"PeriodicalId\":429511,\"journal\":{\"name\":\"2017 International Conference on Network and Information Systems for Computers (ICNISC)\",\"volume\":\"111 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Network and Information Systems for Computers (ICNISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNISC.2017.00067\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC.2017.00067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
UAV Flight at Low Altitude Based on Binocular Vision
At present, there are two problems in the low-altitude and low-speed state of the civil unmanned aerial vehicle (UAV), and there are two problems in this state. First, there is security when the UAV takes off and landing. Hidden danger, and second, low-altitude low-speed UAV flight stability and object distance recognition. In view of the above problems, this paper presents a method based on the principle of binocular recognition, and uses the binocular recognition image processing technology to construct the fuzzy artificial identification range system, and improves the low altitude complex environment control algorithm. Experiments show that the program to improve the aircraft low-altitude low-speed flight performance, making the UAV can achieve a range of 2 meters obstruction unmanned flight within 1 meter range of fixed-point landing.