Aerial Surveillance

Aerial surveillance utilizes drones and other airborne platforms to monitor and analyze scenes from above, primarily focusing on human detection, tracking, and behavior analysis. Current research emphasizes improving image quality through techniques like dual-camera super-resolution and mitigating atmospheric effects on optical communication for enhanced data transmission. This field is driven by the need for robust, reliable systems capable of operating in diverse conditions, leading to the development of large-scale, multi-modal datasets and advanced algorithms, including deep learning models and control barrier functions for safe autonomous operation. The resulting advancements have significant implications for security, environmental monitoring, and various other applications.