TY - GEN AB - 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. AD - Delft University of Technology AD - Delft University of Technology AD - Delft University of Technology AD - Delft University of Technology AU - Hepworth, M AU - Garofano, V AU - Pang, Y AU - Reppa, V DA - 2022-09-12 DO - 10.24868/10708 DO - doi ID - 10708 JF - Conference Proceedings of iSCSS KW - Autonomous Surface Vehicle KW - Robot Navigation KW - Programming and Vision KW - Neural Networks KW - Multi Sensor Systems KW - Perception L1 - https://library.imarest.org/record/10708/files/10708.pdf L2 - https://library.imarest.org/record/10708/files/10708.pdf L4 - https://library.imarest.org/record/10708/files/10708.pdf LK - https://library.imarest.org/record/10708/files/10708.pdf N2 - 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. PY - 2022-09-12 T1 - A Stereovision-based Navigation System for Autonomous Inland Vessels TI - A Stereovision-based Navigation System for Autonomous Inland Vessels UR - https://library.imarest.org/record/10708/files/10708.pdf VL - iSCSS 2022 Y1 - 2022-09-12 ER -