Vehicle Path Planning for Complete Field Coverage Using Genetic Algorithms
作者： A.E.F. Ryerson , Q. Zhang
DOI:
关键词: Plan (drawing) 、 Agricultural machinery 、 Industrial engineering 、 Cover (telecommunications) 、 Complete field 、 Engineering 、 Path (graph theory) 、 Motion planning 、 Field (computer science) 、 SIMPLE (military communications protocol) 、 Transport engineering
摘要: In farming operations, one of the fundamental issues facing a farmer is cost running farm. If equipment using can be made more efficient, will reduced. One way making agricultural efficient to develop automated or autonomous functions for equipment. tasks plan path travel. This paper reports research on feasibility creating an method planning Genetic algorithms were chosen paths with primary goal optimal guiding completely cover field while avoiding all known obstacles. Two example fields designed evaluating this concept simple problems. While simulation results verified conceptual method, they also indicated that further development would required before algorithm could actually implemented real-world applications.
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