The collaborative autonomous shipping experiment (Case): Motivations, theory, infrastructure, and experimental challenges

Ali Haseltalab; Vittorio Garofano; Muhammad Raheel Afzal; Nicoló Faggioni; Shijie Li; Jialun Liu; Feng Ma; Michele Martelli; Yogang Singh; Peter Slaets; Xu You; Rudy R. Negenborn

doi:10.24868/issn.2631-8741.2020.014

The collaborative autonomous shipping experiment (Case): Motivations, theory, infrastructure, and experimental challenges

Ali Haseltalab^*, Vittorio Garofano, Muhammad Raheel Afzal, Nicoló Faggioni, Shijie Li, Jialun Liu, Feng Ma, Michele Martelli, Yogang Singh, Peter Slaets, Xu You, Rudy R. Negenborn

^*Corresponding author for this work

Transport Engineering and Logistics

Research output: Contribution to journal › Conference article › Scientific › peer-review

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Abstract

The future autonomous ships will be operating in an environment where different autonomous and non-autonomous vessels with different characteristics exist. These vessels are owned by different parties and each uses its owned unique approaches for guidance and navigation. The Collaborative Autonomous Shipping Experiment (CASE) aims at emulating such an environment and also stimulating the move of automatic ship control algorithms towards practice by bringing together different institutes researching on autonomous vessels under an umbrella to experiment with collective sailing in inland waterways. In this paper, the experiments of CASE 2020 are explained, the characteristics of different participating vessels are discussed and some of the control and perception algorithms that are planned to be used at CASE 2020 are presented. CASE 2020 will be held in parallel to iSCSS 2020 at Delft University of Technology, the Netherlands.

Original language	English
Number of pages	16
Journal	Proceedings of the International Ship Control Systems Symposium
Volume	1
DOIs	https://doi.org/10.24868/issn.2631-8741.2020.014
Publication status	Published - 2020
Event	15th International Naval Engineering Conference and Exhibition incorporating the International Ship Control Systems Symposium, INEC/iSCSS 2020 - Virtual, Online Duration: 5 Oct 2020 → 9 Oct 2020

Keywords

Collaborative Shipping
Model Vessels. Autonomous Shipping
Obstacle Avoidance
Path Planning
Trajectory Tracking

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10.24868/issn.2631-8741.2020.014

iSCSS_2020_Paper_28Final published version, 4.8 MBLicence: CC BY

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Haseltalab, A., Garofano, V., Afzal, M. R., Faggioni, N., Li, S., Liu, J., Ma, F., Martelli, M., Singh, Y., Slaets, P., You, X., & Negenborn, R. R. (2020). The collaborative autonomous shipping experiment (Case): Motivations, theory, infrastructure, and experimental challenges. Proceedings of the International Ship Control Systems Symposium, 1. https://doi.org/10.24868/issn.2631-8741.2020.014

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abstract = "The future autonomous ships will be operating in an environment where different autonomous and non-autonomous vessels with different characteristics exist. These vessels are owned by different parties and each uses its owned unique approaches for guidance and navigation. The Collaborative Autonomous Shipping Experiment (CASE) aims at emulating such an environment and also stimulating the move of automatic ship control algorithms towards practice by bringing together different institutes researching on autonomous vessels under an umbrella to experiment with collective sailing in inland waterways. In this paper, the experiments of CASE 2020 are explained, the characteristics of different participating vessels are discussed and some of the control and perception algorithms that are planned to be used at CASE 2020 are presented. CASE 2020 will be held in parallel to iSCSS 2020 at Delft University of Technology, the Netherlands.",

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author = "Ali Haseltalab and Vittorio Garofano and Afzal, {Muhammad Raheel} and Nicol{\'o} Faggioni and Shijie Li and Jialun Liu and Feng Ma and Michele Martelli and Yogang Singh and Peter Slaets and Xu You and Negenborn, {Rudy R.}",

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doi = "10.24868/issn.2631-8741.2020.014",

language = "English",

volume = "1",

journal = "Proceedings of the International Ship Control Systems Symposium",

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note = "15th International Naval Engineering Conference and Exhibition incorporating the International Ship Control Systems Symposium, INEC/iSCSS 2020 ; Conference date: 05-10-2020 Through 09-10-2020",

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Haseltalab, A, Garofano, V, Afzal, MR, Faggioni, N, Li, S, Liu, J, Ma, F, Martelli, M, Singh, Y, Slaets, P, You, X & Negenborn, RR 2020, 'The collaborative autonomous shipping experiment (Case): Motivations, theory, infrastructure, and experimental challenges', Proceedings of the International Ship Control Systems Symposium, vol. 1. https://doi.org/10.24868/issn.2631-8741.2020.014

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AU - Afzal, Muhammad Raheel

AU - Faggioni, Nicoló

AU - Li, Shijie

AU - Liu, Jialun

AU - Ma, Feng

AU - Martelli, Michele

AU - Singh, Yogang

AU - Slaets, Peter

AU - You, Xu

AU - Negenborn, Rudy R.

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AB - The future autonomous ships will be operating in an environment where different autonomous and non-autonomous vessels with different characteristics exist. These vessels are owned by different parties and each uses its owned unique approaches for guidance and navigation. The Collaborative Autonomous Shipping Experiment (CASE) aims at emulating such an environment and also stimulating the move of automatic ship control algorithms towards practice by bringing together different institutes researching on autonomous vessels under an umbrella to experiment with collective sailing in inland waterways. In this paper, the experiments of CASE 2020 are explained, the characteristics of different participating vessels are discussed and some of the control and perception algorithms that are planned to be used at CASE 2020 are presented. CASE 2020 will be held in parallel to iSCSS 2020 at Delft University of Technology, the Netherlands.

KW - Collaborative Shipping

KW - Model Vessels. Autonomous Shipping

KW - Obstacle Avoidance

KW - Path Planning

KW - Trajectory Tracking

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JF - Proceedings of the International Ship Control Systems Symposium

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The collaborative autonomous shipping experiment (Case): Motivations, theory, infrastructure, and experimental challenges

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