Optimization of coverage mission for lightweight unmanned aerial vehicles applied in crop data acquisition

作者：

Highlights：

• The LUAVs limitations for crop data acquisition were improved by optimizing the path.

• The lack robustness and flight time of LUAVs was solved by optimizing the path.

• The selection of an algorithm for crop coverage depends on the location of the ALIs.

• The extended Kalman filter specified the positioning of the LUAV with an error of 2 m.

• The test showed that the spiral algorithms maintained better percentages of coverage.

摘要

•The LUAVs limitations for crop data acquisition were improved by optimizing the path.•The lack robustness and flight time of LUAVs was solved by optimizing the path.•The selection of an algorithm for crop coverage depends on the location of the ALIs.•The extended Kalman filter specified the positioning of the LUAV with an error of 2 m.•The test showed that the spiral algorithms maintained better percentages of coverage.

论文关键词：Coverage,Crop,Heuristic,Positioning,Unmanned aerial vehicle,ROS

论文评审过程：Received 5 December 2018, Revised 8 November 2019, Accepted 19 January 2020, Available online 5 February 2020, Version of Record 5 February 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113227