Next Article in Journal
Classification of Lowland Native Grassland Communities Using Hyperspectral Unmanned Aircraft System (UAS) Imagery in the Tasmanian Midlands
Previous Article in Journal
Rapid Assessment of Ecological Integrity for LTER Wetland Sites by Using UAV Multispectral Mapping
Article Menu
Issue 1 (March) cover image

Export Article

Open AccessArticle

Survey on Coverage Path Planning with Unmanned Aerial Vehicles

Programa de Pós-Graduação em Computação (PPGC), Universidade Federal de Pelotas (UFPel), 96010-610 Pelotas, Brazil
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Received: 4 December 2018 / Revised: 29 December 2018 / Accepted: 29 December 2018 / Published: 4 January 2019

Abstract

Coverage path planning consists of finding the route which covers every point of a certain area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in several application domains involving terrain coverage, such as surveillance, smart farming, photogrammetry, disaster management, civil security, and wildfire tracking, among others. This paper aims to explore and analyze the existing studies in the literature related to the different approaches employed in coverage path planning problems, especially those using UAVs. We address simple geometric flight patterns and more complex grid-based solutions considering full and partial information about the area of interest. The surveyed coverage approaches are classified according to a classical taxonomy, such as no decomposition, exact cellular decomposition, and approximate cellular decomposition. This review also contemplates different shapes of the area of interest, such as rectangular, concave and convex polygons. The performance metrics usually applied to evaluate the success of the coverage missions are also presented. View Full-Text
Keywords: unmanned aerial vehicles; coverage path planning; terrain coverage; exact cellular decomposition; approximate cellular decomposition unmanned aerial vehicles; coverage path planning; terrain coverage; exact cellular decomposition; approximate cellular decomposition
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Cabreira, T.M.; Brisolara, L.B.; Ferreira Jr., P.R. Survey on Coverage Path Planning with Unmanned Aerial Vehicles. Drones 2019, 3, 4.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Drones EISSN 2504-446X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top