Accession Number:

ADA576111

Title:

Multiple Event Localization in a Sparse Acoustic Sensor Network Using UAVs as Data Mules

Descriptive Note:

Conference paper

Corporate Author:

ARMY RESEARCH LAB ADELPHI MD

Personal Author(s):

• Isaacs, Jason T.
• Venkateswaran, Sriram
• Hespanha, Joao
• Madhow, Upamanyu
• Burman, Jerry
• Pham, Tien

Report Date:

2012-12-01

Pagination or Media Count:

7.0

Abstract:

Results from a field demonstration of autonomous detection, localization, and verification of multiple acoustic events using sparsely deployed unattended ground sensors, unmanned aerial vehicles UAV as data mules, and a ground control interface are discussed. A novel algorithm is demonstrated to address the problem of multiple event acoustic source localization in the presence of false and missed detections. We also demonstrate an algorithm to route a UAV equipped with a radio to collect data from sparsely deployed ground sensors that takes advantage of communication range of the aircraft while adhering to kinematic constraints of the UAV. A second UAV was utilized to provide video verification of localized events to a human operator at a ground control station.

Descriptors:

• *ACOUSTIC DETECTION
• ACOUSTIC DETECTORS
• DRONES
• POSITION(LOCATION)
• SELF OPERATION

Subject Categories:

• Acoustic Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE