Sense and avoid for unmanned aircraft systems
- 7 December 2016
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Aerospace and Electronic Systems Magazine
- Vol. 31 (11), 82-110
- https://doi.org/10.1109/maes.2016.160116
Abstract
Sense and avoid (SAA) represents one of the main roadblocks to the integration of unmanned aircraft systems (UAS) operations by aviation authorities around the world. This tutorial outlines and reviews the substantial breadth of SAA architectures, technologies, and algorithms. Starting from a discussion about what constitutes a UAS and how it is different than manned aircraft, basic SAA definitions and taxonomies are discussed. The SAA process is dissected into three fundamental tasks, defined as sensing, detecting, and avoiding, which are discussed in detail. The tutorial concludes with a summary of the regulatory and technical issues that continue to challenge the progress on SAA, as a key component of reliable UAS operation in civil aviation authorities (CAAs) around the world.This publication has 28 references indexed in Scilit:
- A survey of autonomous vision-based See and Avoid for Unmanned Aircraft SystemsProgress in Aerospace Sciences, 2016
- Sky Region Obstacle Detection and Tracking for Vision-Based UAS Sense and AvoidJournal of Intelligent & Robotic Systems, 2015
- Radar/electro-optical data fusion for non-cooperative UAS sense and avoidAerospace Science and Technology, 2015
- Optimal Collision Avoidance Trajectories for Unmanned/Remotely Piloted AircraftPublished by American Institute of Aeronautics and Astronautics (AIAA) ,2013
- Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid SystemsInternational Journal of Aerospace Engineering, 2012
- Acoustic sense & avoid for UAV'sPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Passive Ranging for UAV Sense and Avoid ApplicationsPublished by American Institute of Aeronautics and Astronautics (AIAA) ,2005
- Unmanned Aviation: A Brief History of Unmanned Aerial VehiclesPublished by American Institute of Aeronautics and Astronautics (AIAA) ,2004
- Tracking and Kalman Filtering Made EasyPublished by Wiley ,1998
- Angle-only tracking filter in modified spherical coordinatesJournal of Guidance, Control, and Dynamics, 1991