Sense and avoid for Unmanned Aerial Vehicles using ADS-B

Yucong Lin, Srikanth Saripalli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

37 Scopus citations

Abstract

We present the design and implementation of an aircraft collision avoidance algorithm for Unmanned Aerial Vehicles (UAVs). Automatic Dependent Surveillance-Broadcast (ADS-B) is used to detect aircraft. The UAV needs to fly through pre-assigned waypoints while avoiding collisions with other aircraft. The aircraft are indifferent to the UAV. A collision with aircraft are detected by simulating the UAV's trajectory along the path of assigned waypoints using its closed-loop dynamics. A sampling based algorithm is used for collision avoidance path planning. A second collision check is performed on the generated path with the updated UAV and aircraft's states. The path will be re-planned if it leads to a collision. The algorithm was validated in Software-In-the-Loop Simulation (SITL). ADS-B data obtained from commercial aircraft flying over the Phoenix Skyharbor airport were used for simulating the collisions. The paper shows that the algorithm enables the UAV to avoid multiple aircraft with different approaching angles and speeds.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Robotics and Automation, ICRA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6402-6407
Number of pages6
EditionJune
ISBN (Electronic)9781479969234
DOIs
StatePublished - Jun 29 2015
Event2015 IEEE International Conference on Robotics and Automation, ICRA 2015 - Seattle, United States
Duration: May 26 2015May 30 2015

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
NumberJune
Volume2015-June
ISSN (Print)1050-4729

Other

Other2015 IEEE International Conference on Robotics and Automation, ICRA 2015
Country/TerritoryUnited States
CitySeattle
Period5/26/155/30/15

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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