@inproceedings{667ef9f846944d7394f8371241713ec8,
title = "Terrain classification using w-k filter and 3d navigation with static collision avoidance",
abstract = "The ability to autonomously navigate in an unknown and dynamic environment avoiding obstacles while, at the same time, classify various types of terrain are challenges that have been mainly faced by researchers from the computer vision area. Solutions to these problems are of great interest for collaborative autonomous navigation robots. For example an Unmanned Aerial Vehicle (UAV) may be used to determine the path which an Unmanned Surface Vehicle (USV) has to navigate to reach the intended destination. This paper presents a novel vision based algorithm that allows for independent navigation with on flight obstacle avoidance planning, while simultaneously classifying different terrain type using a Wiener-Khinchin (W-K) Filter.",
keywords = "Classification, MoveIt!, Navigation, Obstacle avoidance, Planning, QGroundControl, ROS, UAV, W-K Filter",
author = "Matos-Carvalho, {Jo{\~a}o Pedro} and D{\'a}rio Pedro and Campos, {Lu{\'i}s Miguel} and Fonseca, {Jos{\'e} Manuel} and Andr{\'e} Mora",
note = "Project 5G with Nr. 024539 (POCI-01-0247-FEDER-024539) grant agreement No. 783221 UID/EEA/00066/203 Sem PDF conforme despacho. ; Intelligent Systems Conference, IntelliSys 2019 ; Conference date: 05-09-2019 Through 06-09-2019",
year = "2020",
doi = "10.1007/978-3-030-29513-4_81",
language = "English",
isbn = "978-3-030-29512-7",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "1122--1137",
editor = "Yaxin Bi and Rahul Bhatia and Supriya Kapoor",
booktitle = "Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2",
address = "Netherlands",
}