This paper presents one of the approaches to solve the collision problem in restricted area for two moving objects using artificial intelligence (SACO algorithm). Although AI should be used only when the classic methods fail, a simple comparison between them is very interesting. As we know the main task of navigation is to conduct safely an object from the point of departure to destination. This problem does not seem easy, especially if we consider the movement in restricted areas such narrow passages, ports etc.

This article presents the concept of algorithm A* functioning in a navigation system equipped with electronic navigational chart for autonomous planning the shortest and safest route crossing an offshore unmanned vehicle “Edredon”. The first part describes the general technical architecture and functionality of the vehicle's navigation system. In the second part shows in detail the modules of the system responsible for the planning of the road and how to implement them in the A* algorithm. The third part describes the proper operation of testing whether the A* algorithm in the navigation system, while the task of planning the route of the autonomous vehicle. Final part is a discussion of the results obtained from tests carried out in order to evaluate the applicability of the A* algorithm for route planning in autonomous navigation systems.