@inproceedings{7285def4c2d542928577446ae43618b6,
title = "ColANet: A UAV Collision Avoidance Dataset",
abstract = "Artificial Intelligence is evolving at an accelerating pace alongside the increasing number of large datasets due to vast number of image data on the Internet. Unnamed Aircraft Vehicles (UAVs) are also a new trend that will have a huge impact over the next years. The use of UAVs arises some safety issues, such as collisions with dynamic obstacles like birds, other planes, or random thrown objects. Those are complex and sometimes impossible to avoid with state-of-the-art algorithms, representing a threat to the applications. In this article, a new video dataset of collisions, entitled ColANet, aims to provide a base for training new Machine Learning algorithms for handling the problem of avoiding collisions with high efficiency and robustness. It is also shown that using this dataset is easy to build new neural network models and test them.",
keywords = "Artificial Intelligence, Collision avoidance, Dataset, Machine Learning, Neural network, Safety, UAS, UAV",
author = "D{\'a}rio Pedro and Andr{\'e} Mora and Matos-Carvalho, {Jo{\~a}o Pedro} and F{\'a}bio Azevedo and Jos{\'e} Fonseca",
note = "info:eu-repo/grantAgreement/EC/H2020/783119/EU# This work was supported by the European Regional Development Fund (FEDER), through the Regional Operational Programme of Lisbon (POR LISBOA 2020) and the Competitiveness and Internationalization Operational Programme (COMPETE 2020) of the Portugal 2020 framework [Project 5G with Nr. 024539 (POCI-01-0247-FEDER-024539). {\textcopyright} 2020 IFIP International Federation for Information Processing; 11th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020 ; Conference date: 01-07-2020 Through 03-07-2020",
year = "2020",
doi = "10.1007/978-3-030-45124-0_5",
language = "English",
isbn = "978-3-030-45123-3",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "53--62",
editor = "Camarinha-Matos, {Luis M.} and Nastaran Farhadi and F{\'a}bio Lopes and Helena Pereira",
booktitle = "Technological Innovation for Life Improvement - 11th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020, Proceedings",
address = "Netherlands",
}