@inproceedings{016daef0851541afbf33f861923a68d0,
title = "3D UAV flying path optimization method based on the Douglas-Peucker algorithm",
abstract = "Unmanned Aerial Vehicles (UAVs) have been utilized in various applications in many fields in recent years. The paths the pilots flew can be measured and collected to be utilized to create routes for autonomous flight. However, there is a problem in that GPS errors result in the path being irregularly represented. The measured path can be optimized by using the Douglas-Peucker algorithm. Our research led to the proposal of a method to optimize this path by applying the Douglas-Peucker algorithm, which has been shown to be suitable for a two-dimensional path, in three-dimensional space. Optimization of the 3D path by the proposed method was possible by deleting unnecessary points from the three-dimensional space. Thus, the flight paths that were measured and collected can be utilized to define the autonomous flight path.",
keywords = "3D path, Douglas-Peucker, Drone, Path planning, UAV",
author = "Guichang Sim and Jaehwa Chung and Yunsick Sung",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 12th International Conference on Future Information Technology, FutureTech 2017 ; Conference date: 22-05-2017 Through 24-05-2017",
year = "2017",
doi = "10.1007/978-981-10-5041-1_10",
language = "English",
isbn = "9789811050404",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "56--60",
editor = "Park, {James J.} and Shu-Ching Chen and {Raymond Choo}, Kim-Kwang",
booktitle = "Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2017",
address = "Germany",
}