Volltext-Downloads (blau) und Frontdoor-Views (grau)

Solgenia - A test vessel toward energy-efficient autonomous water taxi applications

  • Autonomous surface vessels are a promising building block of the future’s transport sector and are investigated by research groups worldwide. This paper presents a comprehensive and systematic overview of the autonomous research vessel Solgenia including the latest investigations and recently presented methods that contributed to the fields of autonomous systems, applied numerical optimization, nonlinear model predictive control, multi-extended-object-tracking, computer vision, and collision avoidance. These are considered to be the main components of autonomous water taxi applications. Autonomous water taxis have the potential to transform the traffic in cities close to the water into a more efficient, sustainable, and flexible future state. Regarding this transformation, the test platform Solgenia offers an opportunity to gain new insights by investigating novel methods in real-world experiments. An established test platform will strongly reduce the effort required for real-world experiments in the future.

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Hannes HomburgerORCiD, Stefan WirtensohnORCiD, Patrick HoherORCiD, Tim BaurORCiD, Dennis GriesserORCiD, Moritz DiehlORCiD, Johannes ReuterORCiD
DOI:https://doi.org/10.1016/j.oceaneng.2025.121011
ISSN:0029-8018
Parent Title (English):Ocean Engineering
Volume:328
Publisher:Elsevier BV
Document Type:Article
Language:English
Year of Publication:2025
Release Date:2025/04/15
Tag:Autonomous surface vessels; Optimal planning and control; Multi extended object tracking; Collision avoidance
Page Number:19
Article Number:121011
Institutes:Institut für Optische Systeme - IOS
Institut für Systemdynamik - ISD
Open Access?:Ja
Relevance:Wiss. Zeitschriftenartikel reviewed: Listung in Positivlisten
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International