A Stereovision-based Navigation System for Autonomous Vessels

Journal Article (2022)
Author(s)

M. Hepworth (TU Delft - Transport Engineering and Logistics)

V. Garofano (TU Delft - Transport Engineering and Logistics)

Y. Pang (TU Delft - Transport Engineering and Logistics)

V. Reppa (TU Delft - Transport Engineering and Logistics)

DOI related publication
https://doi.org/10.24868/10708 Final published version
More Info
expand_more
Publication Year
2022
Language
English
Journal title
Proceedings of the International Ship Control Systems Symposium
Volume number
16
Article number
6
Event
Downloads counter
137
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Sustainability goals have reignited interest in more fuel efficient modalities for urban freight transportation. The autonomous inland vessel has the potential to enable a modality shift to the waterway, however economically-conscious solutions to the technological challenges are lacking. This paper explores the potential role of stereovision technology as a primary sensor set within the application of autonomous inland vessels. The design of a multi-camera navigation system for mid-range perception and localisation tasks is presented with a view to providing sufficient data for collision avoidance tasks. The performance of these sensors in the application is evaluated with experimental testing using small-scale vessels in an indoor tank, demonstrating their capabilities and limitations for consideration in ongoing research.