Autonomous Airborne Geomagnetic Surveying and Target Identification

Abstract

This work considers algorithms for maritime search and surveillance missions. Search and identification of magnetic anomalies are evaluated. A combination of a particle filter and a neural network are used to identify and classify anomalies. Communication among vehicles is assumed to update a centralized occupancy based map which represents a discretized belief of target locations. Control decisions are based on a nearest neighbor search of the surrounding cells of the occupancy map. Simulation is performed using a planar kinematic model and actual aeromagnetic data.

UAS Operation and Navigation in GPS-Denied Environments Using Multilateration of Aviation Transponders

“…Work at the Autonomous Flight Systems Laboratory (AFSL) at the University of Washington (UW) typically focuses on strategic algorithm development for UAS operation such as search and rescue, 7,8 aerial mapping 9, 10 and surveying. 11,12 The AFSL has also investigated situational awareness 13 and human-inthe-loop architectures for UAS operation. 14 Early flight testing work focused on indoor flight testing 15 by collaborating with industry partners, such as Boeing.…”

UAS Position Estimation in GPS-Degraded and Denied Environments Via ADS-B and Multilateration Fusion

“…The application of unmanned aerial systems (UAS) is wide and varied. Missions for UAS encompass search and rescue, 1, 2 aerial mapping 3,4 and surveying, 5,6 and many others. The platforms to perform these missions are equally diverse ranging from large aircraft such as the Global Hawk down to smaller vehicles such as the Raven.…”

Generating Multi-Purpose Rendered Environments from Unmanned Aerial System Data

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