Probability-based Collision Detection and Resolution of Planned Trajectories for Unmanned Aircraft System Traffic Management Conference Paper

abstract

• 2019 IEEE. We address the problem of traffic management of an unmanned aircraft system. In an effort to improve the performance with safety, we propose a probability-based collision resolution algorithm. The proposed algorithm analyzes the planned trajectories to calculate their collision probabilities, and modifies individual drone starting times to reduce the probability of collision, while attempting to preserve high performance. Our simulation results demonstrate that the proposed algorithm improves the performance of the drone traffic management by guaranteeing high safety with minimal modification of the starting times.

name of conference

• 2019 International Conference on Unmanned Aircraft Systems (ICUAS)

authors

• Kumar, Panganamala

published proceedings

• 2019 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS' 19)

author list (cited authors)

• Ko, W., & Kumar, P. R.

citation count

• 1

complete list of authors

• Ko, Woo-Hyun||Kumar, PR

publication date

• June 2019

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• n2373-6720ISSN  Journal

keywords

• 40 Engineering
• 4001 Aerospace Engineering
• 46 Information And Computing Sciences

Digital Object Identifier (DOI)

• 10.1109/icuas.2019.8798090

International Standard Book Number (ISBN) 13

• 9781728103327

start page

• 946

end page

• 951

URL

• http://dx.doi.org/10.1109/icuas.2019.8798090