000007689 001__ 7689
000007689 005__ 20241024114708.0
000007689 02470 $$2doi$$a10.24868/issn.2515-818X.2020.048
000007689 035__ $$a4497967
000007689 037__ $$aGENERAL
000007689 245__ $$aVehicle agnostic area coverage maximisation for campaign planning
000007689 269__ $$a2020-10-05
000007689 336__ $$aConference Proceedings
000007689 520__ $$aThe level of maturity of maritime autonomous vehicles makes the deployment of networks of vehicles costeffective with an increasing number of applications that today require the usage of autonomous robots. To maximise operational effectiveness, one critical decision variable that has a direct impact on both the cost and performance, lies in how to properly place the different robots/sensors in the target environment. The number of assets, the dedicated communication networks, can contribute a significant portion of the overall cost and their placement determines the overall mission time and the associated coverage area. The ability to quickly allocate the available vehicles to one specific area, to monitor the mission performance, and to understand the quality of the data gathered would represent a key capability to speed up the uptake of the technology even more. This paper aims at bridging this gap, and provides a solution to efficiently schedule multi-vehicle, multi-days and large areas campaigns. The output of the campaign planner is a set of goals (e.g. areas to survey, targets to reacquire), which can then be allocated to the vehicles for execution. Finally, to maximise vehicle interoperability this paper also report an automated translator from high-level mission plans to vehicle to vehicle specific commands. Results are reported through simulations.
000007689 542__ $$fCC-BY-4.0
000007689 6531_ $$aMission planners
000007689 6531_ $$aAutonomous Systems
000007689 6531_ $$aAutonomous Underwater Vehicles
000007689 6531_ $$aAutonomous Surface Vessels
000007689 6531_ $$aMarine systems
000007689 7001_ $$aMunafo, F$$uSeeByte ltd, Edinburgh
000007689 7001_ $$aLaskov, A$$uSeeByte ltd, Edinburgh
000007689 7001_ $$aOpgenoorth, P$$uSeeByte ltd, Edinburgh
000007689 7001_ $$aWhetton, B$$uSeeByte ltd, Edinburgh
000007689 7001_ $$aMignotte, P$$uSeeByte ltd, Edinburgh
000007689 7001_ $$aReed, S$$uSeeByte ltd, Edinburgh
000007689 773__ $$tConference Proceedings of INEC
000007689 773__ $$jINEC 2020
000007689 789__ $$whttps://zenodo.org/record/4497967$$2URL$$eIsIdenticalTo
000007689 8564_ $$998161c02-f261-424c-9b91-c282824d17db$$s3968135$$uhttps://library.imarest.org/record/7689/files/INEC_2020_Paper_76.pdf