Share Email Print

Proceedings Paper

Benchmarking a LIDAR obstacle perception system for aircraft autonomy
Author(s): Adam Stambler; Hugh Cover; Kyle Strabala
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The limits of an unmanned aerial vehicle's (UAV) obstacle detection system place fundamental limits on the UAV's ability to fly safely. Any certification of aviation grade autonomy will require benchmarking of the obstacle perception sub-system and its effect on UAV performance. Consequently, as Near Earth Autonomy has built a state of the art lidar based obstacle perception system, it has also been developing benchmarks and performing ight tests to understand how the theoretical capabilities of its perception suite translates into operational limits on air frames using its perception suite.

This paper analyses these obstacle perception guarantees through the lens of flight testing Near Earth Autonomy's m4 perception suite. The m4 perception suite uses a scanning, nodding lidar to enable safe autonomous take off, flight, and landing. It was tested on a UH-1 helicopter as a part of the Office of Naval Research's (ONR) Autonomous Aerial Cargo/Utility System (AACUS) program. The m4 perception suite enables safe high altitude cruise flight by perceiving all large obstacles within an 800 meter range of the helicopter. As the helicopter nears the ground the perceptual guarantees required for cruise flight speeds are violated by the smallest, and most difficult obstacles: wires. The perception suite still enables safe flight by using specialized algorithms to detect wires up to 400 meters away while travelling at 30m/s. Through over 80 flights in 8 different locations, we test the obstacle perception assumptions, see how the assumptions change, and understand how m4's capabilities impact full autonomous helicopter performance.

Paper Details

Date Published: 3 May 2018
PDF: 11 pages
Proc. SPIE 10640, Unmanned Systems Technology XX, 106400N (3 May 2018); doi: 10.1117/12.2305215
Show Author Affiliations
Adam Stambler, Near Earth Autonomy, Inc. (United States)
Hugh Cover, Near Earth Autonomy, Inc. (United States)
Kyle Strabala, Near Earth Autonomy, Inc. (United States)

Published in SPIE Proceedings Vol. 10640:
Unmanned Systems Technology XX
Robert E. Karlsen; Douglas W. Gage; Charles M. Shoemaker; Hoa G. Nguyen, Editor(s)

© SPIE. Terms of Use
Back to Top