@inproceedings{d887dcd965f64905972f7d41bf122711,
title = "UAV downwash dynamic texture features for terrain classification on autonomous navigation",
abstract = "The information generated by a computer vision system capable of labelling a land surface as water, vegetation, soil or other type, can be used for mapping and decision making. For example, an unmanned aerial vehicle (UAV) can use it to find a suitable landing position or to cooperate with other robots to navigate across an unknown region. Previous works on terrain classification from RGB images taken onboard of UAVs shown that only static pixel-based features were tested with a considerable classification error. This paper proposes a robust and efficient computer vision algorithm capable of classifying the terrain from RGB images with improved accuracy. The algorithm complement the static image features with dynamic texture patterns produced by UAVs rotors downwash effect (visible at lower altitudes) and machine learning methods to classify the underlying terrain. The system is validated using videos acquired onboard of a UAV.",
keywords = "Image processing, Machine Learning, Terrain Classification, Texture, UAV",
author = "Matos-Carvalho, {J. P.} and Fonseca, {Jos{\'e} M.} and Mora, {Andr{\'e} Teixeira Bento Damas}",
note = "Sem PDF conforme despacho. info:eu-repo/grantAgreement/FCT/5876/147324/PT# This work was partially funded by FCT Strategic Program UID/EEA/00066/203 of the Center of Technologies and System (CTS) of UNINOVA - Institute for the Development of new Technologies. In last, this work was not possible without the support and commitment of several fellow colleagues and friends, namely: Ricardo Mendonca, Francisco Marques, Andre Lourenco, Eduardo Pinto and Jose Barata.; 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018 ; Conference date: 09-09-2018 Through 12-09-2018",
year = "2018",
month = oct,
day = "26",
doi = "10.15439/2018F185",
language = "English",
series = "Annals of Computer Science and Information Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1079--1083",
editor = "Maria Ganzha and Leszek Maciaszek and Leszek Maciaszek and Marcin Paprzycki",
booktitle = "Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018",
address = "United States",
}