Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/34381
Title: UAV Mission Planning: Problem Modeling and Solution Methods
Authors: JIA CHENYE
Keywords: UAV, Genetic Algorithm, Stochastic Optimisation, Mission Planning,
Issue Date: 29-Sep-2011
Source: JIA CHENYE (2011-09-29). UAV Mission Planning: Problem Modeling and Solution Methods. ScholarBank@NUS Repository.
Abstract: The research work reported in this thesis addresses the fixed-wing UAV mission planning problem. More specifically, the study focuses on 3 sub-problems: single UAV path planning, multiple UAV cooperative task assignment, and UAV surveillance in an urban environment. The study for each specific problem includes the development of problem modeling method and optimization solution method, followed by simulation experiments for verification. The first part considers the problem of finding an optimal path for a UAV in a realistic environment. The second part considers the problem of multiple UAV coordination to accomplish assigned tasks on different targets. The third part considers the problem of UAV surveillance in an urban environment. In summary, the study on the 3 different UAV mission planning problems represent a major step towards developing advanced modeling and solution tools to deal with close-to-reality problems.
URI: http://scholarbank.nus.edu.sg/handle/10635/34381
Appears in Collections:Master's Theses (Open)

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