@inproceedings{23c8a6084c544429b25ba5f4ea62c319,
title = "Collision avoidance in multi-vehicle cooperative missions using speed adjustment",
abstract = "This paper presents a speed adjustment method for avoiding obstacles during multi-vehicle cooperative missions. The algorithm assumes knowledge of a nominal trajectory for the obstacle and takes into account bounded deviations in the speed profile. Observing such changes, the algorithm varies the pace of the mission accordingly. Rigorous theoretical results guarantee that the collision is avoided under the cooperative mission scenario.",
author = "Mehdi, {Syed Bilal} and Venanzio Cichella and Thiago Marinho and Naira Hovakimyan",
note = "This research was supported by AFOSR, NASA, and NSF This research was supported by AFOSR, NASA, and NSF.; 56th IEEE Annual Conference on Decision and Control, CDC 2017 ; Conference date: 12-12-2017 Through 15-12-2017",
year = "2017",
month = jun,
day = "28",
doi = "10.1109/CDC.2017.8263963",
language = "English (US)",
series = "2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2152--2157",
booktitle = "2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017",
address = "United States",
}