000010708 001__ 10708
000010708 005__ 20240627122023.0
000010708 0247_ $$2doi$$a10.24868/10708
000010708 245__ $$aA Stereovision-based Navigation System for Autonomous Inland Vessels
000010708 269__ $$a2022-09-12
000010708 336__ $$aConference Proceedings
000010708 520__ $$aSustainability 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.
000010708 542__ $$fCC-BY
000010708 6531_ $$aAutonomous Surface Vehicle
000010708 6531_ $$aRobot Navigation
000010708 6531_ $$aProgramming and Vision
000010708 6531_ $$aNeural Networks
000010708 6531_ $$aMulti Sensor Systems
000010708 6531_ $$aPerception
000010708 7001_ $$aHepworth, M$$uDelft University of Technology
000010708 7001_ $$aGarofano, V$$uDelft University of Technology
000010708 7001_ $$aPang, Y$$uDelft University of Technology
000010708 7001_ $$aReppa, V$$uDelft University of Technology
000010708 773__ $$tConference Proceedings of iSCSS
000010708 773__ $$jiSCSS 2022
000010708 85641 $$uhttps://www.imarest.org/events/category/categories/imarest-event/international-ship-control-systems-symposium-2022$$yConference website
000010708 8564_ $$989e91ebf-6fd5-4be3-b554-8b9d92515730$$s10779216$$uhttps://library.imarest.org/record/10708/files/10708.pdf
000010708 980__ $$aConference Proceedings