Aircraft Detection

Aircraft detection research focuses on developing robust and efficient methods for identifying aircraft in various contexts, primarily to ensure safe and autonomous flight operations. Current research emphasizes the use of deep learning, particularly one-stage detectors like YOLO, for real-time detection in diverse scenarios including air-to-air encounters, satellite imagery, and close-proximity operations with both manned and unmanned aircraft. These advancements are crucial for improving autonomous navigation, collision avoidance systems, and airspace management, ultimately enhancing safety and efficiency in aviation.