Autonomous Aircraft Docking: A Vision-Based Approach to Aircraft Parking Systems

Automated aircraft parking systems represent a significant advancement in airport ground operations by enabling precise, autonomous docking of aircraft at gates. These systems aim to reduce turnaround time, minimize human error, and optimize apron space utilization through intelligent control and sensor-guided alignment. By integrating technologies such as real-time object detection, obstacle avoidance, and dynamic path planning, aircraft can be maneuvered safely and efficiently into parking positions without manual intervention. Key challenges include precise steering control during final alignment, maintaining wingtip clearance, and adapting to variable environmental conditions such as low visibility due to rain, fog, or poor lighting. Unlike systems that rely solely on fixed guided paths, the proposed approach dynamically adapts to apron congestion and environmental variability, ensuring consistent performance across diverse conditions. This flexibility enhances operational resilience and supports safer, more efficient ground handling. As airports face increasing traffic demands and space constraints, scalable automation solutions are essential for future infrastructure planning. The concept can be validated through simulation environments that replicate diverse docking scenarios, enabling performance benchmarking and refinement. With continued innovation in control logic and sensor integration, intelligent parking automation has the potential to become a standard feature in next-generation airport ecosystems delivering resilience, efficiency, and safety at scale.