000007572 001__ 7572
000007572 005__ 20240531164500.0
000007572 02470 $$2doi$$a10.24868/issn.2515-818X.2018.002
000007572 035__ $$a2244336
000007572 037__ $$aGENERAL
000007572 245__ $$aStanding on the Shoulders of Giants: How the Maritime Industry can Leverage Developments in Autonomy from other Domains
000007572 269__ $$a2018-10-02
000007572 336__ $$aConference Proceedings
000007572 520__ $$aAutonomous maritime vessels have gained a considerable amount of attention in recent years due to their promise of reduced crew costs, increased safety and increased flexibility. This paper explores how the maritime industry can leverage the developments in autonomy and other systems to contribute to the continued drive towards autonomous maritime systems. First, several key technological areas associated with autonomous maritime systems are identified; including navigation and control systems, data transmission and electrical energy propulsion. These technical areas are then compared with other autonomous systems including autonomous aircraft, automobiles and spacecraft to find overlaps and similarities. A set of representative patents are determined for each technological area across each of the different autonomous systems and is then used to estimate a technological improvement rate for each technology-system pair. These technological improvement rates are implemented in a Monte-Carlo Markov Chain model to explore the effects of the timing of the adoption of autonomous systems in the maritime shipping industry. The model indicates a technological feasibility date of maritime autonomous systems beginning in 2028 when leveraging autonomous developments from other domains.
000007572 542__ $$fCC-BY-NC-ND-4.0
000007572 6531_ $$aAutonomous Maritime
000007572 6531_ $$aTechnology Forecasting
000007572 6531_ $$aLogistics Modelling
000007572 7001_ $$aBenson, C L$$uDelft University of Technology, Netherlands; United States Air Force Office of Scientific Research, United States; Massachusetts Institute of Technology, Cambridge, United States
000007572 7001_ $$aSumanth, P D$$uDelft University of Technology, Netherlands
000007572 7001_ $$aColling, A P$$uDelft University of Technology, Netherlands
000007572 773__ $$tConference Proceedings of INEC
000007572 773__ $$jINEC 2018
000007572 789__ $$whttps://zenodo.org/record/2244336$$2URL$$eIsIdenticalTo
000007572 85641 $$uhttps://www.imarest.org/inec$$yConference website
000007572 8564_ $$93818d7ce-819b-4af6-8713-190900b4dc01$$s2978499$$uhttps://library.imarest.org/record/7572/files/INEC%202018%20Paper%20002%20Benson%20SDG%20FINAL.pdf