A Comparison of Trajectory Determination Approaches for Small UAVs

Abstract

In considering the problem of small unmanned aerial vehicle (SUAV) surveillance mission in a target rich environment, it is desirable to follow a trajectory path that maximizes targets coverage and observation time, while minimizing airframe maneuvering. Motivated by this requirement, this paper investigates the merits of multiple vehicle trajectory path schemes. Genetic Algorithms (GAs) and local optimum techniques are compared to a more conventional defined-path approach. The authors also introduce a polygon boundary reflection algorithm (PBRA) and investigate its merits.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA468280

Entities

People

  • Johnny H. Evers
  • Juan L. Lopez
  • Murray B. Anderson

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aeronautics
  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Aircrafts
  • Airframes
  • Algorithms
  • Artificial Intelligence
  • Collision Avoidance
  • Computer Science
  • Computers
  • Genetic Algorithms
  • Motion Planning
  • Navigation
  • Optimization
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Operations Research
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - UAVs
  • Biotechnology