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Brady Moon

7 accepted papers

2025

Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid

RSS 2025poster

Maintaining visual separation is crucial to achieving safe and seamless high-density operation of airborne vehicles in shared airspace, where pilots currently shoulder this responsibility. To automate this, we present ViSafe, a high-speed airborne vision-only collision avoidance system. Designed un…

Cited by 0PDFScholar
2023

AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking

ICRA 2023poster

Detect-and-Avoid (DAA) capabilities are critical for safe operations of unmanned aircraft systems (UAS). This paper introduces, AirTrack, a real-time vision-only detect and tracking framework that respects the size, weight, and power (SWaP) constraints of sUAS systems. Given the low Signal-to-Noise…

Cited by 19SourceScholar
2023

PyPose: A Library for Robot Learning With Physics-Based Optimization

CVPR 2023poster

Deep learning has had remarkable success in robotic perception, but its data-centric nature suffers when it comes to generalizing to ever-changing environments. By contrast, physics-based optimization generalizes better, but it does not perform as well in complicated tasks due to the lack of high-le…

2023

WIT-UAS: A Wildland-Fire Infrared Thermal Dataset to Detect Crew Assets from Aerial Views

IROS 2023poster

We present the Wildland-fire Infrared Thermal (WIT-UAS) dataset for long-wave infrared sensing of crew and vehicle assets amidst prescribed wildland fire environments. While such a dataset is crucial for safety monitoring in wildland fire applications, to the authors' awareness, no such dataset focu…

Cited by 5SourcecodeScholar
2022

Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace

ICRA 2022poster

Pilots operating aircraft in non-towered terminal airspace rely on their situational awareness and prior knowledge to predict the future trajectories of other agents. These predictions are conditioned on the past trajectories of other agents, agent-agent social interactions and environmental context…

Cited by 25SourcecodeScholar
2022

TIGRIS: An Informed Sampling-based Algorithm for Informative Path Planning

IROS 2022poster

Informative path planning is an important and challenging problem in robotics that remains to be solved in a manner that allows for wide-spread implementation and real-world practical adoption. Among various reasons for this, one is the lack of approaches that allow for informative path planning in…

Cited by 22SourcecodeScholar
2021

CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model

ICRA 2021poster

Energy management is a critical aspect of risk assessment for Uncrewed Aerial Vehicle (UAV) flights, as a depleted battery during a flight brings almost guaranteed vehicle damage and a high risk of human injuries or property damage. Predicting the amount of energy a flight will consume is challengin…

Cited by 32SourcecodeScholar