Propagating A*: Searching State Graphs in Order to Find a Valid Instrument Approach Configuration

Abstract

The helicopter community has consistently been overlooked in the development of the National Airspace System. The unique flight characteristics of these aircraft make them ideally suited for a wide range of missions that are critical to national defense, medical first response and disaster relief. Full exploitation of these capabilities is limited during inclimate weather because the existing airspace plan was developed around fixed wing aircraft. More specifically, the Federal Aviation Administration lacks the resource to generate terminal area procedures for aircraft not restricted to prepared landing surfaces. This thesis focuses on the development of a suitable terminal instrument approach procedure generation capability. Artificially intelligent path planning and computer graphics-based collision detection techniques are used to find valid approach procedures that are compliant with the requirements set forth by the Federal Aviation Administration. A variant of the classic A* graph search algorithm is introduced that propagates state change information to successor nodes. The propagation technique allows the algorithm to search the graph in a single pass even though children nodes often impose a state change on their parent nodes.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2007
Accession Number
ADA473803

Entities

People

  • Trent L. Bottin

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Accidents
  • Aircrafts
  • Artificial Intelligence
  • Autonomous Systems
  • Collision Avoidance
  • Computer Graphics
  • Computer Science
  • Computers
  • Detection
  • Emergencies
  • Fixed Wing Aircraft
  • Global Positioning Systems
  • Graphics
  • Motion Planning
  • Robotics
  • Rotary Wing Aircraft
  • Warning Systems

Readers

  • Aviation Safety and Air Traffic Management
  • Operations Research
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Space