Visual support system for remote control by adaptive ROI selection of monitoring robot
| Autor: | Shota Samejima, Khusniddin Fozilov, Kosuke Sekiyama |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Region of interest (ROI)
Monitoring robot Visual support Gestalt psychology Technology Mechanical engineering and machinery TJ1-1570 Control engineering systems. Automatic machinery (General) TJ212-225 Machine design and drawing TJ227-240 Technology (General) T1-995 Industrial engineering. Management engineering T55.4-60.8 Automation T59.5 Information technology T58.5-58.64 |
| Zdroj: | ROBOMECH Journal, Vol 5, Iss 1, Pp 1-21 (2018) |
| Druh dokumentu: | article |
| ISSN: | 2197-4225 |
| DOI: | 10.1186/s40648-018-0103-0 |
| Popis: | Abstract A visual assistance system has become attractive as a technique to improve the efficiency and stability of remote control. While an operator controls a working robot, another autonomous monitoring robot evaluates a suitable viewpoint to observe the work site, and dynamically moves to the optimal viewpoint for monitoring. Choosing the observation region (ROI: region of interest) is equivalent to deciding the action of the following autonomous monitoring system. Therefore, we focus on ROI detection in our visual support system. We propose an ROI selection method to identify the most suitable observation point and interobject relations. The monitoring robot detects a gestalt of the scene in order to identify the relations between objects. Such an adaptive ROI in real time improves the efficiency of the remote control. The experimental results indicate the effectiveness of the proposed system in terms of execution time and number of errors. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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