Autonomous Vessel Digital-Intelligent Navigation System Architecture and Key Technologies for Key Inland Waterways

ObjectivesThis paper comprehensively reviews recent research progress and technological applications in the field of inland intelligent vessels, both domestically and internationally. It systematically analyzes the developmental dynamics of autonomous inland vessels and identifies prevailing challenges and technical bottlenecks in current intelligent navigation systems. MethodsAligned with the trajectory of digital-intelligent navigation, this study proposes a novel paradigm for inland autonomous vessels that synergistically integrates four research methodologies: theoretical modeling, physical validation, computational simulation, and data-AI convergence. ResultsBuilding upon this framework, the paper delineates several core technologies: cross-spatial multi-scale kinematic modeling, nonlinear motion control coupled with intelligent computation, and the generalization of decision-making models alongside cross-domain controller transfer. ConclusionWe proposes the construction of a cloud-controlled testing and verification platform for the digital-intelligent navigation of inland autonomous vessels. This necessitates establishing a digital twin-enabled experimental testing methodology for navigation control systems. The proposed paradigm provides foundational theoretical and technical support for next-generation intelligent navigation research in the digital-intelligence era.