Constraint-based semi-autonomy for unmanned ground vehicles using local sensingShow others and affiliations
2012 (English)In: UNMANNED SYSTEMS TECHNOLOGY XIV, Bellingham, WA: SPIE - International Society for Optical Engineering, 2012, p. Article no. 83870K-Conference paper, Published paper (Refereed)
Abstract [en]
Teleoperated vehicles are playing an increasingly important role in a variety of military functions. While advantageous in many respects over their manned counterparts, these vehicles also pose unique challenges when it comes to safely avoiding obstacles. Not only must operators cope with difficulties inherent to the manned driving task, but they must also perform many of the same functions with a restricted field of view, limited depth perception, potentially disorienting camera viewpoints, and significant time delays. In this work, a constraint-based method for enhancing operator performance by seamlessly coordinating human and controller commands is presented. This method uses onboard LIDAR sensing to identify environmental hazards, designs a collision-free path homotopy traversing that environment, and coordinates the control commands of a driver and an onboard controller to ensure that the vehicle trajectory remains within a safe homotopy. This system's performance is demonstrated via off-road teleoperation of a Kawasaki Mule in an open field among obstacles. In these tests, the system safely avoids collisions and maintains vehicle stability even in the presence of "routine" operator error, loss of operator attention, and complete loss of communications.
Place, publisher, year, edition, pages
Bellingham, WA: SPIE - International Society for Optical Engineering, 2012. p. Article no. 83870K-
Series
Proceedings of SPIE, ISSN 0277-786X ; 8387
Keywords [en]
Semi-Autonomy, Adaptive Autonomy, Teleoperation, Unmanned Ground Vehicles, Driver Assistance
National Category
Robotics
Identifiers
URN: urn:nbn:se:hh:diva-20730DOI: 10.1117/12.919265ISI: 000305906400020ISBN: 978-0-8194-9065-0 OAI: oai:DiVA.org:hh-20730DiVA, id: diva2:586854
Conference
Conference on Unmanned Systems Technology XIV, APR 25-27, 2012, Baltimore, MD
2013-01-132013-01-122018-03-22Bibliographically approved