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Then, a tracking prediction method of unmanned aerial vehicle was proposed based on the algorithm of particle filter under the situation of uncertain disturbances. Finally, the track to avoid obstacles was divided into curved track and linear track using the bricks mechanism and the tracking prediction was done. The simulated result shows that proposed method can achieve the tracking prediction better with less smaller and better robustness when there are uncertain Gaussian noise, wind speed below 2\u2009m\/s as well as error and random noise of the sensor existing.<\/jats:p>","DOI":"10.1177\/0959651817710128","type":"journal-article","created":{"date-parts":[[2017,5,26]],"date-time":"2017-05-26T01:52:37Z","timestamp":1495763557000},"page":"408-416","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Tracking prediction to avoid obstacle path of agricultural unmanned aerial vehicle based on particle filter"],"prefix":"10.1177","volume":"232","author":[{"given":"Xihai","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Electronic Engineering and Information, Northeast Agricultural University, Harbin, China"}]},{"given":"Chengguo","family":"Fan","sequence":"additional","affiliation":[{"name":"School 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