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Name: Safe Autonomous Systems Lab at Stevens Institute of Technology
Type: Organization
Location: United States of America
Name: Safe Autonomous Systems Lab at Stevens Institute of Technology
Type: Organization
Location: United States of America
A framework for photorealistic hardware-in-the-loop agile flight simulation using Unity3D and ROS. Developed by MIT FAST Lab.
This projects addresses unmanned aerial vehicle (UAV) navigation and path planning under engine-out case for landing under severe weather using a Multi-Level Adaptation approach. This is a milestone in a novel autopilot framework, which enables a UAV under large uncertainties to perform safety maneuvers that are traditionally reserved for human pilots with sufficient experience. In addition, we present a high-fidelity simulation environment for fixed-wing aircraft to test and validate the approach under various uncertainties. For the proposed Multi-Level Adaptation autopilot framework, we present the design and analysis as well as the simulation results for the case of emergency landing due to engine failure under severe weather conditions, a challenging task for an autonomous aircraft.
This repository includes framework which is for landing trajectory prediction and feasibility evaluation for backup landing area
[IEEE ICUAS 2022] Python scripts for swarming, formation control, and observer-based adversary detection for multi-UAVs (Tello Drones)
voxl2 developement for data collection and event camera integration
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