@inproceedings{add95d539d984bfaae1fa6b0c4c996f3,
title = "Drones as collaborative sensors for image recognition",
abstract = "Distributed sensor networks have the ability for more data collection and advanced tasks such as object recognition and tracking than a singular sensor. However, these sensor networks are often limited in their ability to coordinate either by their requirement to be connected to a central system or by their fixed position and static nature. Drones or unmanned aerial vehicles (UAVs) provide a unique opportunity in multi-sensor networks. Although drones are usually limited by their available power due to battery capacity, recent advances in technology and algorithms provide drones with more available computational power. In addition to computability augmentation in drone mobility, decentralized coordination enables drones to create the next generation of distributed multi-sensor networks. In this paper, we explore combination of the existing image processing and object recognition techniques in the perspective of collaborative drones, which can improve the robustness of image recognition tasks.",
author = "Zientara, {Peter A.} and Jinhang Choi and Jack Sampson and Vijaykrishnan Narayanan",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 ; Conference date: 12-01-2018 Through 14-01-2018",
year = "2018",
month = mar,
day = "26",
doi = "10.1109/ICCE.2018.8326187",
language = "English (US)",
series = "2018 IEEE International Conference on Consumer Electronics, ICCE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Mohanty, {Saraju P.} and Peter Corcoran and Hai Li and Anirban Sengupta and Jong-Hyouk Lee",
booktitle = "2018 IEEE International Conference on Consumer Electronics, ICCE 2018",
address = "United States",
}