An Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems

Documenti analoghi

• DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains
  di: Dadboud, Fardad, et al.
  Pubblicazione: (2024)
• Task load dependent decision referrals for joint binary classification in human-automation teams
  di: Kaza, Kesav, et al.
  Pubblicazione: (2025)
• aerial-autonomy-stack -- a Faster-than-real-time, Autopilot-agnostic, ROS2 Framework to Simulate and Deploy Perception-based Drones
  di: Panerati, Jacopo, et al.
  Pubblicazione: (2026)
• An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
  di: Bajcsy, Andrea, et al.
  Pubblicazione: (2019)
• A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
  di: Tayal, Manan, et al.
  Pubblicazione: (2025)