Mobile Robot with Movement Detection Controlled by a Real-Time Optical Flow Hermite Transform

2015 ◽  
pp. 231-263 ◽  
Author(s):  
Ernesto Moya-Albor ◽  
Jorge Brieva ◽  
Hiram Eredín Ponce Espinosa
Keyword(s):  
Mobile Robot ◽  
Optical Flow ◽  
Real Time ◽  
Movement Detection ◽  
Hermite Transform

Embedded Implementation of a Resource-Efficient Optical Flow Extraction Method

MACRo 2015 ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 163-175
Author(s):  
László Bakó ◽  
Sándor-Tihamér Brassai ◽  
Călin Enăchescu
Keyword(s):  
Mobile Robot ◽  
Optical Flow ◽  
Real Time ◽  
Extraction Method ◽  
Artificial Vision ◽  
Time Motion ◽  
Motion Extraction ◽  
Egomotion Estimation ◽  
Vision Based Navigation ◽  
Embedded Implementation

AbstractThe main goal of the proposed project is to enhance a mobile robot with evolutionary optimization capabilities for tasks like egomotion estimation and/or obstacle avoidance. The robot will learn to navigate different environments and will adapt to changing conditions. This implies the implementation of vision-based navigation of robots using artificial vision, computed with on-board FPGAs. The current paper aim to contribute on the implementation of a real-time motion extraction from video a feed using embedded FPGA circuits.

Obstacles Perception for Serpentine Robot Based on Optical Flow Modules and Multi-Sensor Fusion

2011 ◽  
Vol 55-57 ◽  
pp. 1699-1704
Author(s):  
Jie Zhao ◽  
Zhen Feng Han ◽  
Gang Feng Liu ◽  
Yong Min Yang
Keyword(s):  
Mobile Robot ◽  
Optical Flow ◽  
Real Time ◽  
Sensor Fusion ◽  
Image Sequence ◽  
Higher Order ◽  
Experimental Results ◽  
New Approach ◽  
Environment Perception ◽  
Indoor And Outdoor

To move efficiently in an unknown environment, a mobile robot must use observations taken by various sensors to detect obstacles. This paper describes a new approach to detect obstacles for serpentine robot. It captures the image sequence and analyzed the optical flow modules to estimate the deepness of the scene. This avoids one or higher order differential in the traditional optical flow calculation. The data of ultrasonic sensor and attitude transducer sensor are fused into the algorithm to improve the real-time capability and the robustness. The detecting results are presented by fuzzy diagrams which is concise and convenient. Indoor and outdoor experimental results demonstrate that this method can provide useful and comprehensive environment perception for the robot.

Real-time Control for Mobile Robot Considering Environmental Changes

2007 ◽  
Vol 73 (12) ◽  
pp. 1369-1374
Author(s):  
Hiromi SATO ◽  
Yuichiro MORIKUNI ◽  
Kiyotaka KATO
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Environmental Changes ◽  
Real Time Control ◽  
Time Control

MODIFIED METHOD FOR REAL-TIME COMPUTING DENSE OPTICAL FLOW ON FPGA

2019 ◽  
Vol 70 ◽  
pp. 146-157
Author(s):  
A. V. Bratulin ◽  
◽  
M. B. Nikiforov ◽  
A. I. Efimov ◽  
◽  
...  
Keyword(s):  
Optical Flow ◽  
Real Time ◽  
Modified Method ◽  
Dense Optical Flow ◽  
Real Time Computing

Real-time road edge following for mobile robot navigation

1990 ◽  
Vol 2 (1) ◽  
pp. 35 ◽  
Author(s):  
R.A. Lotufo ◽  
A.D. Morgan ◽  
E.L. Dagless ◽  
D.J. Milford ◽  
J.F. Morrissey ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Robot Navigation ◽  
Mobile Robot Navigation

A Real-time Monocular Tracking Method for Low-Cost Mobile Robot

2018 ◽  
Author(s):  
Ruonan Ren ◽  
Guangzeng Chen ◽  
Mingliang Wang ◽  
Yunjiang Lou
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Low Cost ◽  
Tracking Method
Sign in / Sign up

Export Citation Format

Share Document