4 papers
SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving
Anil Yildiz, Sarah M. Thornton, Carl Hildebrandt +2
Assessing scenario coverage is crucial for evaluating the robustness of autonomous agents, yet existing methods rely on expensive human annotations or computationally intensive Lar…
Optimal Planning and Machine Learning for Responsive Tracking and Enhanced Forecasting of Wildfires using a Spacecraft Constellation
Sreeja Roy-Singh, Vinay Ravindra, Richard Levinson +8
We propose a novel concept of operations using optimal planning methods and machine learning (ML) to collect spaceborne data that is unprecedented for monitoring wildfires, process…
Agile, Autonomous Spacecraft Constellations with Disruption Tolerant Networking to Monitor Precipitation and Urban Floods
Sreeja Roy-Singh, Alan P. Li, Vinay Ravindra +2
Fully re-orientable small spacecraft are now supported by commercial technologies, allowing them to point their instruments in any direction and capture images, with short notice.…
Fractional Collisions: A Framework for Risk Estimation of Counterfactual Conflicts using Autonomous Driving Behavior Simulations
Sreeja Roy-Singh, Sarvesh Kolekar, Daniel P. Bonny +1
We present a methodology for estimating collision risk from counterfactual simulated scenarios built on sensor data from automated driving systems (ADS) or naturalistic driving dat…