Enhancing Search and Rescue Efforts During CSSR Operations Using Drone Mounted Rover System

In Collapsed Structures Search and Rescue (CSSR) operations, rapid and efficient survivor detection and safe navigation through hazardous environments are crucial. Traditional methods, such as manual probing and canine searches, are slow, limited, and risky. This is addressed through a comprehensive integrated drone and rover system where the rover is mounted on a drone. Equipped with advanced sensors and AI-driven capabilities, flying drones and deployable rovers utilize Light Detection and Ranging (LiDAR) for 3-Dimensional (3D) terrain mapping, Ground Penetrating Radar (GPR) for locating bodies beneath debris, thermal imaging to distinguish living people from dead, optical cameras for live video stream, and microphone arrays for voice detection. A dashboard with an integrated AI system processes real-time sensor data, offering precise situational awareness, hazard identification, survivor classification, and optimized rescue paths. Drones provide aerial surveys and path mapping, while rovers navigate confined areas to relay detailed environmental and human presence data. The AI generates hazard maps, suggests extraction routes, and prioritizes survivors, all the data collected is relayed in real time to ground rescue teams. Two-way communication with victims further enhances response efficacy. The proposed system revolutionizes CSSR by enhancing speed, precision, and safety, minimizing human risk while maximizing successful victim extractions.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icsses64899.2025.11009369
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Enhancing Search and Rescue Efforts During CSSR Operations Using Drone Mounted Rover System

Pratibha Pankaj Mishra, Deepak Ch, Nupoor Kumari, Sayed Mohamed Saqib
Robotic Path Planning Algorithms
article

Enhancing Search and Rescue Efforts During CSSR Operations Using Drone Mounted Rover System

Pratibha Pankaj Mishra, Deepak Ch, Nupoor Kumari, Sayed Mohamed Saqib
article en

Abstract

In Collapsed Structures Search and Rescue (CSSR) operations, rapid and efficient survivor detection and safe navigation through hazardous environments are crucial. Traditional methods, such as manual probing and canine searches, are slow, limited, and risky. This is addressed through a comprehensive integrated drone and rover system where the rover is mounted on a drone. Equipped with advanced sensors and AI-driven capabilities, flying drones and deployable rovers utilize Light Detection and Ranging (LiDAR) for 3-Dimensional (3D) terrain mapping, Ground Penetrating Radar (GPR) for locating bodies beneath debris, thermal imaging to distinguish living people from dead, optical cameras for live video stream, and microphone arrays for voice detection. A dashboard with an integrated AI system processes real-time sensor data, offering precise situational awareness, hazard identification, survivor classification, and optimized rescue paths. Drones provide aerial surveys and path mapping, while rovers navigate confined areas to relay detailed environmental and human presence data. The AI generates hazard maps, suggests extraction routes, and prioritizes survivors, all the data collected is relayed in real time to ground rescue teams. Two-way communication with victims further enhances response efficacy. The proposed system revolutionizes CSSR by enhancing speed, precision, and safety, minimizing human risk while maximizing successful victim extractions.

SRM University (IN), VIT-AP University
Openalex Percentile: Top 89%
Robotic Path Planning Algorithms
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