Abstract
This paper introduces a Universal Multi-layer Map Display designed to enhance situational awareness in real-world facilities like hospitals, factories, or disaster sites. The proposed system integrates multiple layers of spatial and semantic data into a unified, interactive interface, allowing users to navigate complex environments with improved clarity and decision-making capabilities. By combining metric maps, topological maps, and semantic information (e.g., room functions, hazard zones, and live sensor data), the multi-layer map enables operators and robot systems to visualize and interact with real-time data streams intuitively.
The research explores the application of this system in dynamic, cluttered environments where real-time mapping and navigation are critical. Key innovations include the fusion of multi-modal sensor data, switching between map layers to suit different operational needs, and integrating context-aware alerts that provide up-to-date insights on environmental changes and potential hazards. The system improves situational awareness by offering a comprehensive view of the environment, enhancing decision-making and coordination in complex tasks such as emergency response, logistics, and facility management.
The results emphasize the importance of multi-layered data representation and intuitive interfaces in environments where spatial awareness is critical to mission success.
The research explores the application of this system in dynamic, cluttered environments where real-time mapping and navigation are critical. Key innovations include the fusion of multi-modal sensor data, switching between map layers to suit different operational needs, and integrating context-aware alerts that provide up-to-date insights on environmental changes and potential hazards. The system improves situational awareness by offering a comprehensive view of the environment, enhancing decision-making and coordination in complex tasks such as emergency response, logistics, and facility management.
The results emphasize the importance of multi-layered data representation and intuitive interfaces in environments where spatial awareness is critical to mission success.
Original language | English |
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Pages | 255-260 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 14 Nov 2024 |
Event | SSRR 2024 - IEEE International Symposium on Safety, Security, and Rescue Robotics - NYU Tandon School of Engineering, New York, United States Duration: 12 Nov 2024 → 14 Nov 2024 https://ssrr2024.org/ |
Conference
Conference | SSRR 2024 - IEEE International Symposium on Safety, Security, and Rescue Robotics |
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Country/Territory | United States |
City | New York |
Period | 12.11.2024 → 14.11.2024 |
Internet address |
Keywords
- Mapping
- situation-awareness
- exploration
- Multi-layered
- Search and Rescue Robotics