Paper Info
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.
Year
DOI
Venue
2019
10.1007/978-3-030-22999-3_18
ADVANCES AND TRENDS IN ARTIFICIAL INTELLIGENCE: FROM THEORY TO PRACTICE
Keywords
Field
DocType
Coverage path problem,Obstacle avoidance,Agriculture UAVs
Motion planning,Obstacle avoidance,Android (operating system),Computer science,Operations research,Agriculture
Conference
Volume
ISSN
Citations 
11606
0302-9743
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Kaipeng Wang100.34
Zhijun Meng2306.37
Lifeng Wang351.18
Zhenping Wu400.34
Zhe Wu500.34