TY - GEN
T1 - Survey on autonomous surface vessels
T2 - ICCL 2017: 8th International Conference on Computational Logistics
AU - Schiaretti, Matteo
AU - Chen, Linying
AU - Negenborn, Rudy R.
PY - 2017
Y1 - 2017
N2 - Autonomous Surface Vessels (ASVs) have been involved in numerous projects since the 1990s. Many ASV projects have been successfully realized, and as many are still under development. Together with the development of those new autonomous vessels, the research on classification about ASVs has become important. The classifications provide clarity to researchers, designers, shipbuilders, equipment manufacturers, ship owners and operators, enabling accurate specification of the desired level of autonomy in design and operations. Moreover, the involved research paves the way to a clearer understanding of the opportunity and challenges of research on autonomous vehicles. In this paper, we introduce the emerging concept of autonomous vessels. A multi-layer multi-agent control architecture of cooperative transport systems from the perspective of ASVs is proposed. Moreover, we provide an overview of existing research on the classification of autonomy. Based on the analysis, a detailed definition and categorization of autonomy levels for ASVs is proposed starting from the characteristics of ASVs and existing classification of autonomy. The proposed autonomy levels categorization assesses the overall autonomy level of a vessel by analyzing the automated sub-systems: Decision, Actions, Exceptions, and Cooperation. This categorization can be used to analyze existing ASV prototypes to gain insight into the status and trend of ASV research.
AB - Autonomous Surface Vessels (ASVs) have been involved in numerous projects since the 1990s. Many ASV projects have been successfully realized, and as many are still under development. Together with the development of those new autonomous vessels, the research on classification about ASVs has become important. The classifications provide clarity to researchers, designers, shipbuilders, equipment manufacturers, ship owners and operators, enabling accurate specification of the desired level of autonomy in design and operations. Moreover, the involved research paves the way to a clearer understanding of the opportunity and challenges of research on autonomous vehicles. In this paper, we introduce the emerging concept of autonomous vessels. A multi-layer multi-agent control architecture of cooperative transport systems from the perspective of ASVs is proposed. Moreover, we provide an overview of existing research on the classification of autonomy. Based on the analysis, a detailed definition and categorization of autonomy levels for ASVs is proposed starting from the characteristics of ASVs and existing classification of autonomy. The proposed autonomy levels categorization assesses the overall autonomy level of a vessel by analyzing the automated sub-systems: Decision, Actions, Exceptions, and Cooperation. This categorization can be used to analyze existing ASV prototypes to gain insight into the status and trend of ASV research.
KW - ASV
KW - Autonomous surface vessels
KW - Autonomy level
KW - Cooperative transport systems
UR - http://www.scopus.com/inward/record.url?scp=85032860147&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-68496-3_15
DO - 10.1007/978-3-319-68496-3_15
M3 - Conference contribution
AN - SCOPUS:85032860147
SN - 978-3-319-68495-6
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 219
EP - 233
BT - Computational Logistics
A2 - Bektaş, Tolga
A2 - Coniglio, Stefano
A2 - Martinez-Sykora, Antonio
A2 - Voß, Stefan
PB - Springer
CY - Cham, Switzerland
Y2 - 18 October 2017 through 20 October 2017
ER -
