2021
DOI: 10.48550/arxiv.2106.02459
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Optimization on Planning of Trajectory and Control of Autonomous Berthing and Unberthing for the Realistic Port Geometry

Yoshiki Miyauchi,
Ryohei Sawada,
Youhei Akimoto
et al.

Abstract: To realize autonomous shipping, autonomous berthing and unberthing are some of the technical challenges. In the past, numerous research have been done on the optimization of trajectory planning of berthing problems. However, these studies assumed only a simple berth and did not consider obstacles. Optimization of trajectory planning on berthing and unberthing in actual ports must consider the spatial constraints and maintain sufficient distance to obstacles. The main contributions of this study are as follows:… Show more

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Cited by 1 publication
(2 citation statements)
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“…Research on trajectory planner for docking operation sees various efforts to balance three things: low computational cost (Bitar et al, 2020;Martinsen et al, 2020), applicability to underactuated conventional vessel (Maki et al, 2021(Maki et al, , 2020Mizuno et al, 2015), and feasibility with respect to the surrounding dynamic (Han et al, 2021;Mizuno et al, 2015) and geometric information (Bitar et al, 2020;Liao et al, 2019;Martinsen et al, 2019;Miyauchi et al, 2021b). This is relevant, because in practice a shipmaster will try to replan a new trajectory for docking operation if it is considered not feasible anymore.…”
Section: Introductionmentioning
confidence: 99%
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“…Research on trajectory planner for docking operation sees various efforts to balance three things: low computational cost (Bitar et al, 2020;Martinsen et al, 2020), applicability to underactuated conventional vessel (Maki et al, 2021(Maki et al, , 2020Mizuno et al, 2015), and feasibility with respect to the surrounding dynamic (Han et al, 2021;Mizuno et al, 2015) and geometric information (Bitar et al, 2020;Liao et al, 2019;Martinsen et al, 2019;Miyauchi et al, 2021b). This is relevant, because in practice a shipmaster will try to replan a new trajectory for docking operation if it is considered not feasible anymore.…”
Section: Introductionmentioning
confidence: 99%
“…This article limits the discussion within the scope of OCP-based trajectory planner that was pioneered by Shouji et al (1992). The trajectory planner introduced in Maki et al (2021) and Miyauchi et al (2021b) can produce an almostglobal, feasible, and safe trajectory for a conventional vessel, but requires long computational time. The one introduced in Mizuno et al (2015) is relatively fast and also applicable to conventional vessel, but there are no spatial constraints that can guarantee safe trajectory.…”
Section: Introductionmentioning
confidence: 99%