USV Environmental Efficiency

Completed

Energy Efficiency(Transport)
Not Energy Related

Applied Research and Development

PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics)
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences)

Not Cross-cutting

Project Contact
Thales UK Limited

Collaborative Research & Development

Innovate UK

01 August 2015

31 January 2017

18 months

£343,864

South East

Competition Call: 1410_CRD2_TRANS_MAS - Maritime Autonomous Systems. Activity Maritime autonomous systems

Project Contact, Thales UK Limited

Project Contact, Autonomous Surface Vehicles Limited
Project Contact, University of Southampton
Project Contact, University of Sheffield

Currently available autonomous control systems and unmanned surface vehicles (USVs) navigate based upon shortest path or direct waypoint navigation techniques and do not explicitly take account of external environmental factors such as sea state, wave direction, current, tide & wind. This can lead to either inefficient vehicle operation or a narrow environmental operating envelope for the USV when compared to a manned vessel. When operating a manned vessel, a skilled coxswain will dynamically adjust the vessels heading and speed in order to compensate for the external environment. The aim of this project is to develop a sensing package and a set of autonomous behaviours that can take account of external environmental influences when the USV is transiting to a known waypoint in adverse environmental conditions. Behaviours will be developed and tested within a simulation environment and once proven, integrated into USV along with the sensing package. The system will be characterised and compared with both the baseline Autonomy Management System and a skilled coxswain.Currently available autonomous control systems and unmanned surface vehicles (USVs) navigate based upon shortest path or direct waypoint navigation techniques and do not explicitly take account of external environmental factors such as sea state, wave direction, current, tide & wind. This can lead to either inefficient vehicle operation or a narrow environmental operating envelope for the USV when compared to a manned vessel. When operating a manned vessel, a skilled coxswain will dynamically adjust the vessels heading and speed in order to compensate for the external environment. The aim of this project is to develop a sensing package and a set of autonomous behaviours that can take account of external environmental influences when the USV is transiting to a known waypoint in adverse environmental conditions. Behaviours will be developed and tested within a simulation environment and once proven, integrated into USV along with the sensing package. The system will be characterised and compared with both the baseline Autonomy Management System and a skilled coxswain.Currently available autonomous control systems and unmanned surface vehicles (USVs) navigate based upon shortest path or direct waypoint navigation techniques and do not explicitly take account of external environmental factors such as sea state, wave direction, current, tide & wind. This can lead to either inefficient vehicle operation or a narrow environmental operating envelope for the USV when compared to a manned vessel. When operating a manned vessel, a skilled coxswain will dynamically adjust the vessels heading and speed in order to compensate for the external environment. The aim of this project is to develop a sensing package and a set of autonomous behaviours that can take account of external environmental influences when the USV is transiting to a known waypoint in adverse environmental conditions. Behaviours will be developed and tested within a simulation environment and once proven, integrated into USV along with the sensing package. The system will be characterised and compared with both the baseline Autonomy Management System and a skilled coxswain.Currently available autonomous control systems and unmanned surface vehicles (USVs) navigate based upon shortest path or direct waypoint navigation techniques and do not explicitly take account of external environmental factors such as sea state, wave direction, current, tide & wind. This can lead to either inefficient vehicle operation or a narrow environmental operating envelope for the USV when compared to a manned vessel. When operating a manned vessel, a skilled coxswain will dynamically adjust the vessels heading and speed in order to compensate for the external environment. The aim of this project is to develop a sensing package and a set of autonomous behaviours that can take account of external environmental influences when the USV is transiting to a known waypoint in adverse environmental conditions. Behaviours will be developed and tested within a simulation environment and once proven, integrated into USV along with the sensing package. The system will be characterised and compared with both the baseline Autonomy Management System and a skilled coxswain.

13/02/18