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Autonomous UAV Collision Avoidance
Title: Principal Investigator
Phone: (714) 224-4410
Email: dcline@sara.com
Title: Chief Executive Officer
Phone: (714) 224-4410
Email: pparhami@sara.com
Contact: Phil Copeland
Address:
Phone: (505) 646-9122
Type: Nonprofit College or University
Various approaches have been proposed for UAVs to detect and avoid collision with other aircraft. This approach detects the low-frequency sound of approaching aircraft to detect and to determine bearings and range. Despite the difficulties of removing self-noise, the use of acoustics provides adequate range capability for collision avoidance and provides full spherical coverage. The system determines whether an aircraft is on a collision trajectory, and can operate with multiple aircraft. The sensor system is totally self-contained in an extremely light-weight, low-power, solid-state, passive, low-cost, compact sensor system. The sensor system can therefore be effectively integrated into smaller UAVs.
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