@article{GENERAL,
      recid = {7689},
      author = {Munafo, F and Laskov, A and Opgenoorth, P and Whetton, B  and Mignotte, P and Reed, S},
      title = {Vehicle agnostic area coverage maximisation for campaign  planning},
      journal = {Conference Proceedings of INEC},
      address = {2020-10-05},
      number = {GENERAL},
      abstract = {The 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.},
      url = {http://library.imarest.org/record/7689},
}