:   .., .., .., ..
:  
:  118
:  
:  2025
:   .., .., .. . // . - 2025. - . 118. - .132-207.
:   , , , , ,
(.):  autonomous navigation and control, visual odometry, unmanned surface vehicles, multisensor systems, obstacle detection, machine learning
:   . , . , . , . . , RoboBoat RobotX. . . , , . , .
(.):  The state's need for automation of production processes increases with the development of the economy. Scientific research aimed at solving problems in the field of unmanned transportation of passengers and goods on waterways is of particular interest. There is a tendency to increase the number of projects related to unmanned vessels in the world shipbuilding. The relevance of automation of surface transport lies in reducing the labor costs of sea and river fleet crews to perform routine tasks, reducing the number of emergencies. An analysis of modern methods and technologies for the implementation of an autonomous navigation system for unmanned surface vehicles is provided. Advanced algorithms and tools presented at international competitions for the design of unmanned surface vehicles RoboBoat and RobotX are considered. Recommendations for the design of autonomous navigation systems for three scenarios for the use of unmanned surface vehicles in inland waterways are presented. The results of the study made it possible to systematize approaches and identify their limitations for each stage of autonomous navigation system development. Development and implementation of control systems for highly automated and autonomous vehicles, creation of technical solutions for navigation, control and communication systems are an important and urgent task in the field of water transport systems. Its application will help eliminate risks associated with the human factor and increase the efficiency of work in complex and changing environmental conditions.

PDF

: 92, : 34, : 11.


© 2007.