UAV Path Planning based on Road Extraction

Chang Liu, Tamás Szirányi, Tamás Szirányi

2022

Abstract

With the development of science and technology, UAVs are increasingly being used and serving humans, especially in the wilderness environment, due to their portability and the ease with which they can reach places that are beyond human reach. In this paper, we present a technique for drones to help humans intelligently plan routes in a field environment. Our approach is firstly based on road extraction techniques in the field of image segmentation, using state-of-the-art D-LinkNet to extract roads from images captured by real-time UAVs. Secondly, the extracted road information is analyzed, the set of main roads and that of the secondary road are distinguished according to the width and the real-time road conditions on the ground, and different weights are assigned to them. Finally, the A star algorithm is used to calculate a route plan with weights based on the human-defined starting and ending points to obtain the optimal route. The results of our task are the simulations on publicly available datasets to show that the method works well to provide the optimal intelligent routes in real-time for people in the field.

Paper Citation

in Harvard Style

Liu C. and Szirányi T. (2022). UAV Path Planning based on Road Extraction. In Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE, ISBN 978-989-758-563-0, pages 202-210. DOI: 10.5220/0011089900003209

in Bibtex Style

@conference{improve22,
author={Chang Liu and Tamás Szirányi},
title={UAV Path Planning based on Road Extraction},
booktitle={Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,},
year={2022},
pages={202-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011089900003209},
isbn={978-989-758-563-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,
TI - UAV Path Planning based on Road Extraction
SN - 978-989-758-563-0
AU - Liu C.
AU - Szirányi T.
PY - 2022
SP - 202
EP - 210
DO - 10.5220/0011089900003209