Recent Advances in Maritime Security Risk Detection and Rescue

With the continuous deepening of human exploration and utilization of marine resources, activities such as maritime trade, sea transportation, and scientific research have been increasing. However, the uncertainty of marine climate and surface environments has led to frequent maritime accidents. It is particularly important to ensure the safety of people and ships. As a result, the maritime security risk detection and rescue (MSRDR) problem, with the objectives of minimizing search and rescue time and resource consumption, has gained widespread attention. This study provides a comprehensive summary of the current state of related research, elaborating on research outcomes related to search and rescue models and path planning algorithms. Finally, it points out potential future research directions. To this end, we first present the general definition of MSRDR, followed by an introduction to two different search and rescue models: the single-center search and rescue model and the multi-center search and rescue model. Subsequently, we introduce four approaches to solving this problem, including exact methods, heuristic methods, metaheuristic methods, and reinforcement learning methods. Additionally, we discuss several potential future directions.