DocumentCode
1583326
Title
Design approach of visual image detection in rescue robot system of urban search using Bayesian´s logical algorithm
Author
Malewar, Shraddha P. ; Dakhore, Hemlata
Author_Institution
Dept. of Comput. Sci. & Eng., G.H. Raisoni Inst. of Eng. & Technol. for Women, Nagpur, India
fYear
2015
Firstpage
1
Lastpage
5
Abstract
In this paper, we present a rescue robot having a novel mapping management system with robustly generated image segmentation and visualization using wireless camera and sensors. This paper propose of the vision subsystem was to image the surrounding environment and to communicate the scene to the remote pilot; the vision subsystem consisted of all onboard wireless camera connected with wireless sensor network. We proposed a rescue robot having software which allowed the operator to initiate a web server to view the camera over the wireless network with minimal delay. The course will resembles a miniature of what a disaster situation looks like after an earthquake. We proposed rescue robot to make it getting smarter, safe path from itself to the targets by path planning. The main proposed of this paper is to focus on image segmentation and detection of live human body.
Keywords
Bayes methods; Internet; cameras; image segmentation; object detection; path planning; rescue robots; robot vision; wireless sensor networks; Bayesian logical algorithm; Web server; image segmentation; image visualization; live human body; mapping management system; object detection; onboard wireless camera; path planning; remote pilot; rescue robot system; safe path; urban search; vision subsystem; visual image detection; wireless network; wireless sensor network; Cameras; Image segmentation; Navigation; Rescue robots; Robot sensing systems; Bayesian logical method; mapping and localization; semi-autonomous controller;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-6817-6
Type
conf
DOI
10.1109/ICIIECS.2015.7193244
Filename
7193244
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