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Collaborative Mission and Route Planning of Multi-vehicle Systems for Autonomous Search in Marine Environment

Sukmin Yoon, Haggi Do, and Jinwhan Kim*
International Journal of Control, Automation, and Systems, vol. 18, no. 3, pp.546-555, 2020

Abstract : As the impact and complexity of disasters, either natural or man-made, have increased, collaborative operation of a group of unmanned vehicles attracts much attention for effective response in disaster environments. In particular, mission planning is crucial for an effective collaboration of multiple heterogeneous vehicle systems. This study presents a mission planning algorithm and its application procedure in disaster situations. In general, disaster response missions such as search, rescue, and oil spill tracking are complicated in nature and come in various forms. Therefore, the mission needs to be broken down into simpler tasks that are more readily achievable to autonomous vehicles without human intervention. This study also presents a set of algorithms for efficient initial search and task allocation. The performance and feasibility of the proposed methodologies are evaluated with numerical simulations.

Keyword : Autonomous vehicles, fleet size optimization, mission planning and decision making, multi-vehicle systems, task allocation-sharing and job design, trajectory and path planning.

 
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