Jian Xing is currently pursuing a Master’s degree in Computer and Control Engineering at Northeast Forestry University, where he also completed his Bachelor’s degree. His research interests primarily focus on the application of UAV technology in monitoring and enhancing infrastructure, particularly in the field of highway construction. Jian has been actively involved in several notable research projects, including the “Intelligent Monitoring Application of UAV in the Process of Highway Construction,” supported by the Heilongjiang Province Transportation Department’s Research Project and the Science and Technology Project of Heilongjiang Transportation Department (HJK2023B019). He has also contributed to the National Natural Science Foundation project titled “Study on the Prediction Method of Small Dead Fuel Moisture Content of Forest Surface by Land-Space Semi-Physical Model” (Project Number: 32371864). Jian Xing has co-authored several impactful papers, including “Improved YOLOV5-Based UAV Pavement Crack Detection” published in IEEE Sensors Journal (IF: 4.3), “Based on the UAV Cross-Modal YOLOV5 Slope Crack Detection” in Sensors, and “UAV Multispectral Imagery Predicts Dead Fuel Moisture Content” in Forests (IF: 2.9). His research contributions highlight his expertise in UAV-based monitoring systems and their applications in infrastructure and environmental management.