Perception systems operate as a subcomponent of the general autonomy sta...
Designing robust machine learning systems remains an open problem, and t...
The increasing prevalence of neural networks (NNs) in safety-critical
ap...
Modern autonomous systems rely on perception modules to process complex
...
Aircraft collision avoidance systems have long been a key factor in keep...
Deep neural networks often lack the safety and robustness guarantees nee...
Neural networks are often used to process information from image-based
s...
Preference-based learning of reward functions, where the reward function...
Neural networks serve as effective controllers in a variety of complex
s...
Airspace models have played an important role in the development and
eva...