Threatmap: A Heatmap Framework for Enhancing Security Awareness and Decision-Making for Naval Agents
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Authors
Sayed, Md Abu
Issue Date
2023
Type
Thesis
Language
Keywords
Alternative Title
Abstract
Naval agents, such as ships and boats, utilize a variety of sensors and defense systems to shield themselves and their allies from hostile agents. The range, field of view, and dynamic pose of these systems determine their coverage. A heatmap provides a dynamic estimate of the safe and vulnerable areas surrounding the agent in a pseudo-color image overlay form. This research presents a model that computes the vulnerability heatmap based on the specific states of the agent's sensors and defenses. It also proposes a Closest Point of Approach (CPA)-based predictive dynamic action heatmap model to represent potential threat hotspots surrounding the agent visually. This model utilizes data like the velocity, location, CPA, the time to reach CPA distance (TCPA), and relative bearing of the agent and other vessels to determine whether any nearby vessels pose a threat to the agent. Based on the threat level from each vessel in different locations surrounding the agent, a predictive action heatmap is generated. Finally, a combined heatmap called Threatmap is generated to represent threats around the agent as a gradient from green to red, representing the safest to most dangerous zone, indicating immediate action required. The proposed system is then implemented in a Unity-based simulator to visualize the results in a real-time environment with navy ships having exact sensors and defense systems.