Recursive Gradient Estimation Using Splines for Navigation of Autonomous Vehicles,

Abstract

Terrain gradient estimation is needed for navigation of an autonomous vehicle in climbing the hills. The in-path and cross-path terrain slopes are estimated from the set of corresponding range slopes. A two-dimensional recursive smoothing algorithm using polynomial splines in the third dimension is developed for this purpose. Approximations are introduced in the sub-optimal system so that the computation time increases only linearly with the size of the two-dimensional data. The successful development of an autonomous vision system for mobile vehicles would be considerable value and importance to defense and related fields. Numerous reports and studies currently recommend artificial intelligence/robotics applications which require autonomous vehicles. Essential to these robotic vehicles is an adequate and efficient computer vision system. A potentially more successful approach, other than TV pictures and photographs, would be to develop a three-dimensional system employing a laser rangefinder.

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1985
Accession Number
ADP004948

Entities

People

  • C. N. Shen

Organizations

  • United States Army Armament Research, Development and Engineering Center

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Applied Mathematics
  • Artificial Intelligence
  • Autonomous Vehicles
  • Computations
  • Computer Vision
  • Laser Rangefinding
  • Mathematics
  • Navigation
  • Robotics
  • Three Dimensional
  • Two Dimensional
  • Unmanned Vehicles
  • Vehicles

Readers

  • Approximation Theory.
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Directed Energy