Autonomous Mission Execution for Teams of Reconnaissance UAVs Additional Tasks Phase 2
Abstract
Publicly Releasable Abstract:One of the key missions for reconnaissance UASs at sea is to locate vessels, people, and other objects,as quickly as possible with the limited flight time of the vehicles. In the current paradigm the vehicle streams video to an operato,r who tasks the vehicle with fixed missionsequences or commands. This way of operating the vehicle is not effective as maintaining c,onstant communication with the base station can be difficult especially at longer ranges and increases vulnerability for the base st,ation and vehicle to be found. Additionally, thisapproach makes it necessary for an operator to constantly supervise the video strea,m which limits the operators ability to focus on higher-level mission objectives.In response to these inefficiencies, the goal in t,his project is to continue our work on giving a human operator the ability to send high-level missions and constraints, replace thec,onstant human supervision with automated detections and automate decision making on the vehicle with an autonomy system. In the prop,osed project we will improve our mission autonomy system that fuses the onboard detections, shares coordination information with the, base station, and maximizes relevant information gathered based on the environment and mission parameters. We additionally propose,supporting integration and including our system in the synthetic virtual construct from the Naval Research Laboratory as well as dem,onstrating that the innovations in the surrogate vehicle can be applied within a virtual world and a smaller UAV platform.We will ev,aluate the improvements to our system in our simulation experiments and expect to be able to demonstrate the effectiveness of our me,thod to reduce the communication requirements and increase search efficiency. The proposed work extends our existing grant with addi,tional tasks for the next phase of development.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 05, 2022
- Source ID
- N000142212548
Entities
People
- Sebastian Scherer
Organizations
- Carnegie Mellon University
- Office of Naval Research
- United States Navy