Passive, Long-Range Detection of Aircraft: Towards a Field Deployable Sense and Avoid System

Abstract

Unmanned Aerial Vehicles (UAVs) typically fly blind with operators in distant locations. Most UAVs are too small to carry a traffic collision avoidance system (TCAS) payload or transponder. Collision avoidance is currently done by flight planning, use of ground or air based human observers and segregated air spaces. US lawmakers propose commercial unmanned aerial systems access to national airspace (NAS) by 30th September 2013. UAVs must not degrade the existing safety of the NAS, but the metrics that determine this have to be fully determined yet. It is still possible to state functional requirements and determine some performance minimums. For both manned and unmanned aircraft to fly safely in the same airspace UAVs will need to detect other aircraft and follow the same rules as human pilots. Key specifications of the international committee F38 on UAS systems standard F2411-04 (1) proposed requirements which include a field of regard of 220 degrees (horizontal) x 30 degrees (vertical), minimum detection range of 3 statute miles under visual flight rules and a required miss distance of 500 feet. Without this capability, widespread utilization of UAVs will not be possible.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2009
Accession Number
ADA518105

Entities

People

  • Christopher Geyer
  • Debadeepta Dey
  • Matt Digioia
  • Sanjiv Singh

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Collision Avoidance
  • Collision Avoidance Systems
  • Detection
  • Detectors
  • Electronic Mail
  • Image Processing
  • Machine Learning
  • Sense And Avoid Systems
  • Supervised Machine Learning
  • Traffic Collision Avoidance System
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles
  • Vehicles
  • Warning Systems

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Aviation Safety and Air Traffic Management
  • Defense Acquisition Program Management

Technology Areas

  • Autonomy
  • Autonomy - UAVs
  • Space
  • Space - Space Objects