Walz, Eli (United States Naval Academy), Hammonds, Katie (United States Naval Academy), Rumbaugh, Megan (United States Naval Academy), O'Brien, Richard (United States Naval Academy)

Semi-Autonomous Search and Rescue System

Scheduled for presentation during the Regular Session "Perception and Cognition" (FrB2), Friday, June 9, 2023, 14:20−14:40, Room 130

2023 International Conference on Unmanned Aircraft Systems (ICUAS), June 6-9, 2023, Lazarski University, Warsaw, Poland

This information is tentative and subject to change. Compiled on April 26, 2024

Abstract

A proposed semi-autonomous search and rescue system identifies and tracks a person using a piloted unmanned aerial vehicle with a downward-facing vision system. This vehicle communicates the person’s location to an autonomous unmanned ground vehicle to recover the target. An object detection neural network and image processing system can detect humans from an aerial perspective using RGB and thermal images. A Python simulation of the ground vehicle demonstrates that the heading and velocity controllers are robust to noise and disturbances.