DHRS CIM
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'''Distributed Human-Robot System for Chemical Incident Management''' | '''Distributed Human-Robot System for Chemical Incident Management''' | ||
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| + | * '''Disclaimer''': To the best of our knowledge the information provided herein are correct at the time of publication. However, changes will be made as the project is still in progress. The views or claims expressed in external links provided herein are not endorsed by Sheffield Hallam University. If you find any mistakes or omissions please contact MMVL (details at the main MMVL wiki-page). | ||
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Revision as of 14:56, 14 May 2010
Contents |
The DHRS-CIM project
Distributed Human-Robot System for Chemical Incident Management
- Disclaimer: To the best of our knowledge the information provided herein are correct at the time of publication. However, changes will be made as the project is still in progress. The views or claims expressed in external links provided herein are not endorsed by Sheffield Hallam University. If you find any mistakes or omissions please contact MMVL (details at the main MMVL wiki-page).
Objective
The overall objective of this project is to combine knowledge between industrial and academic organizations in the field of Disaster Management, in order to deliver an intelligent decision support system for humans to manage chemical incidents.
This system can be described as a Distributed Human-Robot System for Chemical Incident Management (DHRS-CIM). This will include ground robots with Micro Unmanned Aerial Vehicles (MAV): the ground robot is a sensor rich vehicle for ground inspection whilst the MAV has a reduced set of sensors (e.g. chemical sensor, stereo camera) that aids in the presentation of an overhead ground map.
The focus will be on the artificial perception and human interaction system in order to integrate both into an intelligent collaborative system.
The ultimate aim is to (1) devise an intelligent system which can be deployed to detect (potential) chemical incidents, (2) help crisis professionals to take informed decisions and to (3) manage chemical incidents via effective data gathering / representations.
Links
Relevant Projects and Work
- View-Finder project website
- Guardians project website
- Thales, NL Micro Aerial Vehicle
- HornetEye: Towards Interpreted Real-time Computer Vision
