scholarly journals A Fast and Precise HOG-Adaboost Based Visual Support System Capable to Recognize Pedestrian and Estimate Their Distance

2013 ◽  
pp. 20-29 ◽  
Author(s):  
Kishino Takahisa ◽  
Zhe Sun ◽  
Ruggero Micheletto
Keyword(s):  
Support System ◽  
Visual Support

Visual Support System for Tele-operated Hand Robot

2018 ◽  
Author(s):  
Tetsuya Mouri ◽  
Hibiki Yamamura ◽  
Haruhisa Kawasaki
Keyword(s):  
Support System ◽  
Visual Support

scholarly journals Visual Support System for Report Distinctiveness Evaluation

2008 ◽  
Vol 23 ◽  
pp. 392-401 ◽  
Author(s):  
Wataru Sunayama ◽  
Toshiaki Kawaguchi
Keyword(s):  
Support System ◽  
Visual Support

scholarly journals AHMoSe: A knowledge-based visual support system for selecting regression machine learning models

2021 ◽  
Vol 187 ◽  
pp. 106183
Author(s):  
Diego Rojo ◽  
Nyi Nyi Htun ◽  
Denis Parra ◽  
Robin De Croon ◽  
Katrien Verbert
Keyword(s):  
Machine Learning ◽  
Support System ◽  
Learning Models ◽  
Knowledge Based ◽  
Visual Support ◽  
Machine Learning Models

scholarly journals Visual support system for remote control by adaptive ROI selection of monitoring robot

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Shota Samejima ◽  
Khusniddin Fozilov ◽  
Kosuke Sekiyama
Keyword(s):  
Remote Control ◽  
Support System ◽  
Visual Support ◽  
Selection Of

scholarly journals Semi-Automatic Visual Support System with Drone for Teleoperated Construction Robot

2021 ◽  
Vol 33 (2) ◽  
pp. 313-321
Author(s):  
Takahiro Ikeda ◽  
Naoyuki Bando ◽  
Hironao Yamada ◽  
◽  
Keyword(s):  
Support System ◽  
Operational Efficiency ◽  
Mental Load ◽  
Visual Support

In this paper, we describe a semi-automatic viewpoint moving system that employs a drone to provide visual assistance to the operator of a teleoperated robot. The objective of this system is to improve the operational efficiency and reduce the mental load of the operator. The operator changes the position of the drone through an interface to acquire the optimal assist image for teleoperation. We confirmed through an evaluation experiment that, in comparison with our previous study in which the final positions of the drone were determined in advance, the proposed method improves the operational accuracy and reduces the mental load of the operator.

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