Vision Based Autonomous Robot Navigation: Motion Segmentation,

Abstract

The ability to acquire and respond appropriately to targets or obstacles. moving or stationary, while underway, is critical for all unmanned mobile robot applications. This is achieved by most animate systems, but has proven difficult for artificial systems. We propose that efficient and extensible solutions to the target acquisition, discrimination, and maintenance problem may be found when the machine sensor-effector control algorithms emulate the mechanisms employed by biological systems. In nature. visual motion provides the basis for these functions. Because visual motion can be due either to target motion or to platform motion, a method of motion segmentation must be found. We present a solution to this problem that emulates natural strategies, and describe its implementation in an autonomous visually controlled mobile robot.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1996
Accession Number
ADA308472

Entities

People

  • Hoa G. Nguyen
  • Michael R. Blackburn

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Autonomous Navigation
  • Computer Vision
  • Control Systems
  • Detectors
  • Discrimination
  • Maintenance
  • Navigation
  • Platforms
  • Robot Navigation
  • Robots
  • Stationary
  • Systems Biology
  • Target Acquisition

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy