DHRS CIM

(Difference between revisions)
Jump to: navigation, search
m (Reference material)
m (Reference material)
Line 63: Line 63:
 
* [http://easycap.co.uk/ EasyCAP: usb video capture device]
 
* [http://easycap.co.uk/ EasyCAP: usb video capture device]
 
* [http://www.wedesoft.demon.co.uk/hornetseye-api/ HornetEye: Towards Interpreted Real-time Computer Vision], [http://www.wedesoft.demon.co.uk/hornetseye-api/files/V4L2Input-rb.html#V4L2Input HornetsEye: V4L2]
 
* [http://www.wedesoft.demon.co.uk/hornetseye-api/ HornetEye: Towards Interpreted Real-time Computer Vision], [http://www.wedesoft.demon.co.uk/hornetseye-api/files/V4L2Input-rb.html#V4L2Input HornetsEye: V4L2]
 +
* [http://segment7.net/projects/ruby/drb/introduction.html Distributed Ruby]
  
 
==Relevant Projects and Work==
 
==Relevant Projects and Work==

Revision as of 02:12, 14 August 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. 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).


Aim and Objectives

The overall aim of this project is knowledge exchange between industrial and academic organizations in the field of Disaster Management; working towards implementing / prototyping, 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 robots may be sensor rich vehicles for ground inspection whilst the MAVs have a reduced set of sensors (e.g. chemical sensor and stereo camera) that aid in the presentation of an overhead ground map.


The ultimate objectives are 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 and representation.


MMVL is predominantly involved in WP1: Human / Robot sensing and decision support. Particularly in environment exploration, active perception and visualisation. The focus will be on the artificial perception and human interaction system in order to integrate sensor information into an intelligent collaborative system for human decision support.

Partners

Coordinator


Academic partners involved

Industrial partners involved


Links

Reference material

Relevant Projects and Work

Source of Inspiration

Personal tools
Namespaces
Variants
Actions
Navigation
Toolbox