WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications
Floods are one of the most commonly occurring natural disasters, and caused more than 120,000 fatalities in the world between 1991 and 2005. Most of these casualties are caused by the lack of a reliable real-time flash flood monitoring system. Given the area to monitor, unmanned aerial vehicles (UAV...
| Main Authors: | , , , , , |
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| Format: | Conference Paper |
| Published: |
2014
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| Online Access: | 51644 http://hdl.handle.net/20.500.11937/51518 |
| _version_ | 1848758718538186752 |
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| author | Abdelkader, M. Shaqura, M. Ghommem, M. Collier, N. Calo, Victor Claudel, C. |
| author_facet | Abdelkader, M. Shaqura, M. Ghommem, M. Collier, N. Calo, Victor Claudel, C. |
| author_sort | Abdelkader, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Floods are one of the most commonly occurring natural disasters, and caused more than 120,000 fatalities in the world between 1991 and 2005. Most of these casualties are caused by the lack of a reliable real-time flash flood monitoring system. Given the area to monitor, unmanned aerial vehicles (UAVs) appear as the most promising solutions for this task. © 2014 IEEE. |
| first_indexed | 2025-11-14T09:48:27Z |
| format | Conference Paper |
| id | curtin-20.500.11937-51518 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:48:27Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-515182018-12-14T00:57:47Z WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications Abdelkader, M. Shaqura, M. Ghommem, M. Collier, N. Calo, Victor Claudel, C. Floods are one of the most commonly occurring natural disasters, and caused more than 120,000 fatalities in the world between 1991 and 2005. Most of these casualties are caused by the lack of a reliable real-time flash flood monitoring system. Given the area to monitor, unmanned aerial vehicles (UAVs) appear as the most promising solutions for this task. © 2014 IEEE. 2014 Conference Paper http://hdl.handle.net/20.500.11937/51518 10.1109/ICCPS.2014.6843725 51644 restricted |
| spellingShingle | Abdelkader, M. Shaqura, M. Ghommem, M. Collier, N. Calo, Victor Claudel, C. WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications |
| title | WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications |
| title_full | WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications |
| title_fullStr | WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications |
| title_full_unstemmed | WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications |
| title_short | WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications |
| title_sort | wip abstract: optimal multi-agent path planning for fast inverse modeling in uav-based flood sensing applications |
| url | 51644 http://hdl.handle.net/20.500.11937/51518 |