Sampling Based Collision Avoidance for UAVs Conference Paper

abstract

• 2016 American Automatic Control Council (AACC). We present the design and implementation of a path planning algorithm for Unmanned Aerial Vehicles (UAVs) to avoid collisions with other aircraft. The aircraft are indifferent to the UAV. A sampling based method is developed to generate the avoidance path. The UAV's closed-loop system is used to simulate the trajectory in collision check used in path planning. The generated path is then checked against updated states of the UAV and obstacle aircraft, and a new path will be planned if the original one leads to a collision. The algorithm is validated in Hardware-In-the-Loop simulation (HIL) and real flight experiments. The paper shows that the algorithm is able to generate paths for the UAV to avoid obstacles of different numbers, approaching angles, and speeds.

name of conference

• 2016 American Control Conference (ACC)

authors

• Saripalli, Srikanth

published proceedings

• 2016 AMERICAN CONTROL CONFERENCE (ACC)

author list (cited authors)

• Lin, Y., & Saripalli, S.

citation count

• 14

complete list of authors

• Lin, Yucong||Saripalli, Srikanth

publication date

• July 2016

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the ... American Control Conference. American Control Conference  Journal

Digital Object Identifier (DOI)

• 10.1109/acc.2016.7525106

International Standard Book Number (ISBN) 13

• 9781467386821

start page

• 1353

end page

• 1358

volume

• 2016-July

URL

• http://dx.doi.org/10.1109/acc.2016.7525106