186 citations · 187 across the 4 of their papers we have counts for
4 papers
Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System
Cooper Cone, Michael Owen, Luis Alvarez +1
The proliferation of unmanned aircraft systems (UAS) has caused airspace regulation authorities to examine the interoperability of these aircraft with collision avoidance systems i…
Collision Risk and Operational Impact of Speed Change Advisories as Aircraft Collision Avoidance Maneuvers
Sydney M. Katz, Luis E. Alvarez, Michael Owen +4
Aircraft collision avoidance systems have long been a key factor in keeping our airspace safe. Over the past decade, the FAA has supported the development of a new family of collis…
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning
Ritchie Lee, Ole J. Mengshoel, Anshu Saksena +5
Finding the most likely path to a set of failure states is important to the analysis of safety-critical systems that operate over a sequence of time steps, such as aircraft collisi…
Deep Neural Network Compression for Aircraft Collision Avoidance Systems
Kyle D. Julian, Mykel J. Kochenderfer, Michael P. Owen
One approach to designing decision making logic for an aircraft collision avoidance system frames the problem as a Markov decision process and optimizes the system using dynamic pr…