Search and rescue (SAR) operations are critical in finding lost, missing, or injured individuals quickly to minimize their suffering and risk. Remote or inaccessible areas make these operations challenging, but autonomous drones can help significantly. This systematic review examines the effectiveness of autonomous UAVs in SAR operations.
Autonomous UAVs can cover large areas rapidly and cost-effectively, particularly in situations where time is crucial. They use various sensors, such as cameras, lidar, and radar, to gather information about their surroundings and locate missing persons. These drones can fly independently or with a team of ground searchers, depending on the scenario.
Researchers have developed different path planning methods for autonomous UAVs, including 2D path planning that uses straight paths and turns to cover probability distributions in WiSAR applications. Restricting the search area doesn’t significantly impact exploration, but it allows for a more detailed search of the remaining zones within the same time frame.
The article highlights the advantages of autonomous UAVs in SAR operations, including their ability to quickly survey large areas and provide real-time information to ground searchers. However, there are also challenges, such as maintaining communication between drones and ensuring they operate safely and efficiently in various environments.
In summary, autonomous UAVs have the potential to revolutionize SAR operations by providing a cost-effective and efficient way to cover large areas quickly. By leveraging advanced sensors and path planning methods, these drones can help locate missing persons faster and more accurately than traditional search methods. While there are challenges to overcome, the benefits of autonomous UAVs in SAR operations make them an exciting area of research with significant potential for saving lives.
Efficient Search Methods in SAR Operations: Leveraging UAVs
