Challenges in Close-Proximity Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace
Jay Patrikar, Joao P. A. Dantas, Sourish Ghosh, Parv Kapoor, Ian, Higgins, Jasmine J. Aloor, Ingrid Navarro, Jimin Sun, Ben Stoler, Milad, Hamidi, Rohan Baijal, Brady Moon, Jean Oh, Sebastian Scherer

TL;DR
This paper discusses the development of an integrated system for safe, seamless, and autonomous operation of unmanned and manned aircraft sharing airspace, emphasizing safety, collaboration, and reduced manning.
Contribution
It introduces a novel system enabling autonomous unmanned aircraft to safely operate alongside manned aircraft using natural language instructions and visual detection, with demonstrations of interactive AI-human collaboration.
Findings
Successful demonstration of AI pilot and human pilot sharing airspace
Vision-only aircraft detection system showcased
Identified key technical challenges for full autonomy
Abstract
We propose developing an integrated system to keep autonomous unmanned aircraft safely separated and behave as expected in conjunction with manned traffic. The main goal is to achieve safe manned-unmanned vehicle teaming to improve system performance, have each (robot/human) teammate learn from each other in various aircraft operations, and reduce the manning needs of manned aircraft. The proposed system anticipates and reacts to other aircraft using natural language instructions and can serve as a co-pilot or operate entirely autonomously. We point out the main technical challenges where improvements on current state-of-the-art are needed to enable Visual Flight Rules to fully autonomous aerial operations, bringing insights to these critical areas. Furthermore, we present an interactive demonstration in a prototypical scenario with one AI pilot and one human pilot sharing the same…
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Taxonomy
TopicsAir Traffic Management and Optimization · Autonomous Vehicle Technology and Safety · Advanced Neural Network Applications
