@inproceedings{52efe98847614e9daa6108082b960563,
title = "Practical obstacle avoidance path planning for agriculture UAVs",
abstract = "This research deals with the coverage path problem (CPP) in a given area with several known obstacles for agriculture Unmanned Aerial Vehicles (UAVs). The work takes the geometry characteristics of the field and obstacles into consideration. A practical method of the coverage path planning process is established. An obstacle avoidance path planning is used to find a coverage path for agriculture UAVs. The method has been tested with an Android application and is already applied in reality. The results turn out that the method is complete for this kind of coverage path planning problem.",
keywords = "Agriculture UAVs, Coverage path problem, Obstacle avoidance",
author = "Kaipeng Wang and Zhijun Meng and Lifeng Wang and Zhenping Wu and Zhe Wu",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019 ; Conference date: 09-07-2019 Through 11-07-2019",
year = "2019",
doi = "10.1007/978-3-030-22999-3\_18",
language = "英语",
isbn = "9783030229986",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "196--203",
editor = "Franz Wotawa and Ingo Pill and Roxane Koitz-Hristov and Gerhard Friedrich and Moonis Ali",
booktitle = "Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings",
address = "德国",
}