Evolution of Intelligent Shipboard Piloting Systems: A Distributed System for the St Lawrence Seaway

Sudhendar, H.; Grabowski, Martha

doi:10.1017/s037346330001359x

Cited by 9 publications

(2 citation statements)

References 6 publications

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“…That system made use of an electronic map and the radar operation for evaluating the actual position and giving an assessment of the overall navigational situation. Sudhendar and Grabowski [16] discussed possible directions of further development, formulated requirements for an intelligent pilot system, and presented the actual state of work intended to meet particular requirements of coastal services in the United States and Canada. The inner structure of the expert system was discussed on the basis of a piloting system for the St. Lawrence Seaway in Canada.…”

Section: Previous Workmentioning

confidence: 99%

Path Planning in Dynamic Environments

Śmierzchalski

Michalewicz

2005

Innovations in Robot Mobility and Control

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Abstract. The motion planning problem for mobile robots is typically formulated as follows: given a robot and a description of an environment, plan a path of the robot between two specified locations, which is collision-free and satisfies certain optimization criteria. Traditionally there are two approaches to the problem: Off-line planning, which assumes perfectly known and stable environment, and on-line planning, which focuses on dealing with uncertainties when the robot traverses the environment. On-line planning is also referred to by many researchers as the navigation problem. Additional difficulties in approaching navigation problem is that some environments are dynamic, i.e., the obstacles which are present there, need not be static. In this paper we consider a particular instance of a navigation problem, namely, a problem of computing a near-optimum trajectory of a ship. By taking into account certain boundaries of the maneuvering region, along with navigation obstacles and other moving ships, the problem of avoiding collisions at sea was reduced to a dynamic optimization task with static and dynamic constrains. The paper presents a modified version of the Evolutionary Planner/Navigator algorithm, ϑEP/N++, to address the problem. The introduction of a time parameter, the variable speed of the ship, and time-varying constraints representing movable ships, are the main features of the new system. Sample results, having the form of ship trajectories obtained using the program for navigation situations are also presented.

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Section: Previous Workmentioning

confidence: 99%

Path Planning in Dynamic Environments

Śmierzchalski

Michalewicz

2005

Innovations in Robot Mobility and Control

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show abstract

“…The authors, Sudhendar H. and Grabowski M. [15], discussed possible directions of further development, formulated requirements for an intelligent pilot system, and presented the actual state of work intended to meet particular requirements of coastal services in the United States and Canada. The inner structure of the expert system was discussed on the basis of a piloting system for the St Lawrence Seaway in Canada.…”

Section: Previous Workmentioning

confidence: 99%

An intelligent method of ship's trajectory planning at sea

Śmierzchalski

Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383)

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In a navigation situation at sea, the decision support system should help the operator to choose a proper manoeuvre in given circumstances, teach him good habits, and enhance his general intuition on how to behave in similar situations in future. An accepted approach in those cases is a multiple criterion decision problem. In the paper a modified version of the Evolutionary Planner /Navigator algorithm, has been used as a major component of such a decision support system for computing the near optimum trajectory of a ship in given environment. By taking into account certain boundaries of the manoeuvring region, along with navigation obstacles and other moving ships, the problem of avoiding collisions at sea was reduced to a dynamic optimisation task with static and dynamic constrains. The introduction of a time parameter and moving constrains representing the passing ships is the main distinction of the new system. Sample results, having the form of ship trajectories obtained using the program for typical navigation situations are given.

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Intelligent Marine Control Systems

Śmierzchalski

Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems

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Evolution of Intelligent Shipboard Piloting Systems: A Distributed System for the St Lawrence Seaway

Cited by 9 publications

References 6 publications

Path Planning in Dynamic Environments

Path Planning in Dynamic Environments

An intelligent method of ship's trajectory planning at sea

Intelligent Marine Control Systems

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