Construction of Optimal-Path Maps for Homogeneous-Cost-Region Path-Planning Problems

Abstract

Fast path-planning algorithms are needed for autonomous vehicles and tactical terrain-analysis tools. We explore a new approach using 'optimal-path maps', that give the best path to a goal point from any given start point in cross-country two-dimensional terrain for a moving agent of negligible size. Such maps allow fast point-location algorithms at run-time to categorize the start point according to the behavior of the optimal path to the goal, from which the path can be reconstructed. We study terrain modelled by piecewise- linear roads and rivers, polygonal obstacles, and by convex polygonal homogeneous-cost areas ('weighted regions'). We explore two methods for constructing optimal-path maps, one based on wavefront-propagation point-to- point path planning, and a more exact divide-and conquer algorithm that reasons about how optimal paths must behave. In the exact approach, boundaries caused by terrain features are characterized using analytical geometry and optimal-path principles, and partial optimal-path maps are merged into complete ones. Paths, Routes, Path-planning, Shortest-path maps, Optimal-path maps, Weighted region problem, Wavefront propagation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1989
Accession Number
ADA220082

Entities

People

  • Robert S. Alexander

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Algorithms
  • Analytic Geometry
  • Artificial Intelligence
  • Autonomous Vehicles
  • Cells
  • Collision Avoidance
  • Computer Programs
  • Computer Science
  • Computers
  • Geometry
  • Lisp Programming Language
  • Motion Planning
  • Operations Research
  • Plastic Explosives
  • Robots
  • Two Dimensional
  • United States

Readers

  • Forest Ecology
  • Graph Algorithms and Convex Optimization.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • Autonomy