USAGE OF A TECHNICAL VISION UNIT IN A MOBILE WALKING ROBOT CONTROL SYSTEM

Abstract

Overviewed technical vision unit usage for solving walking robot's navigational task and, also, determination of the robot's angular orientation relative to observed scene. Shown, that single moving
camera can be used for a stereo image acquisition with future computation of optical flow, instead of rigid
stereo-camera module. That allows to minimize computational requirements of the data transfer unit. Shown
basic overview of the robot's kinematic model and walking principle. Described general task of optical flow
computation. Provided overview of optical flow computation principle and results of quantitative comparison of nine different techniques, including instances of differential methods, region-based matching energybased and phase-based techniques namely those of Horn and Schunck, Lucas and Kanade, Uras et al.,optical flow computation technique. Provided general principle and implementation for obstacle avoidance
basing on optical flow technique, provided quantitative results implemented in current robot. Shown next
stages of obstacle avoidance: obstacle detection by means of optical flow relative velocities threshold ; distance to the obstacle determination by means of known stereo-image parameters; obstacle relative speed
determination by means of optical flow of obstacle and it's direction and position; obstacle size, also by
means of optical flow and known configuration of scene, and relative to robot angular position by means of
optical eigenvectors computation with future differentiation and solving Poisson's equation.
Nagel, Anandan, Singh, Heeger, Waxman et al. and Fleet and Jepson. Shown Lucas-Kanade approach for

Author Biographies

Анатолий Степанович Кулик, National Aerospace University named after M. Ye. Zhukovsky "KhAI"

Dr. of Science, Professor, Head of the Department of Aircraft Control
Systems, National Aerospace University KhAI

Александр Николаевич Радомский, National Aerospace University im. M.Ya. Zhukovsky "KhAI"

postgraduate of the Department of Aircraft Control Systems,
National Aerospace University KhAI

Published
2017-05-10
Section
Artificial Intellect Systems