The collaborative autonomous shipping experiment (Case)
Motivations, theory, infrastructure, and experimental challenges
Ali Haseltalab (TU Delft - Transport Engineering and Logistics)
Vittorio Garofano (TU Delft - Transport Engineering and Logistics)
Muhammad Raheel Afzal (Katholieke Universiteit Leuven)
Nicoló Faggioni (Università degli Studi di Genova)
Shijie Li (Wuhan University of Technology)
Jialun Liu (Wuhan University of Technology, National Engineering Research Center for Water Transport Safety (WTSC))
Feng Ma (Wuhan University of Technology, National Engineering Research Center for Water Transport Safety (WTSC))
Michele Martelli (Università degli Studi di Genova)
Yogang Singh (Katholieke Universiteit Leuven)
Peter Slaets (Katholieke Universiteit Leuven)
Xu You (National Engineering Research Center for Water Transport Safety (WTSC), Wuhan University of Technology)
Rudy R. Negenborn (TU Delft - Transport Engineering and Logistics)
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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.