UAV Based Search

UAV-based search utilizes unmanned aerial vehicles to efficiently locate targets in various environments, primarily focusing on search and rescue operations and ecological surveys. Current research emphasizes developing autonomous navigation and search strategies, incorporating advanced algorithms like model predictive control, A*, and neuro-symbolic frameworks, often coupled with improved object detection using deep learning models such as convolutional neural networks and RetinaNet. These advancements aim to enhance the speed, accuracy, and autonomy of search missions, impacting fields ranging from disaster response to environmental monitoring.