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.
| Original language | English |
|---|---|
| Article number | 6 |
| Number of pages | 11 |
| Journal | Proceedings of the International Ship Control Systems Symposium |
| Volume | 16 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 16th International Naval Engineering Conference and Exhibition incorporating the International Ship Control Systems Symposium, INEC/iSCSS 2022 - Aula Congress Centre, Delft University of Technology, The Netherlands, Delft, Netherlands Duration: 8 Nov 2022 → 10 Nov 2022 Conference number: 16 https://www.imarest.org/events/category/categories/imarest-event/international-naval-engineering-conference-and-exhibition-2022 |
Funding
Keywords
- Autonomous Surface Vehicle
- Robot Navigation
- Programming and Vision
- Neural Networks
- Multi Sensor Systems
- Perception
