A review on graph search algorithms for optimal energy efficient path planning for an unmanned air vehicle
Autor: | Elia Nadira, Sanjoy Kumar Debnath, Nor Badariyah Abdul Latip, Shasha Shely, Tapan Kumar Chakraborty, Che Ku Nor Azie Hailma Che Ku Melor, Elango Natarajan, Rosli Omar |
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Rok vydání: | 2019 |
Předmět: |
Control and Optimization
Computer Networks and Communications Computer science 010401 analytical chemistry 020206 networking & telecommunications 02 engineering and technology 01 natural sciences Industrial engineering Graph 0104 chemical sciences Unmanned air vehicle Hardware and Architecture Search algorithm Signal Processing Graph traversal 0202 electrical engineering electronic engineering information engineering Graph (abstract data type) Motion planning Electrical and Electronic Engineering Information Systems Efficient energy use |
Zdroj: | Indonesian Journal of Electrical Engineering and Computer Science. 15:743 |
ISSN: | 2502-4760 2502-4752 |
Popis: | Unmanned Air Vehicle (UAV) has attracted attention in recent years in conducting missions for longer time with higher levels of autonomy. For the enhanced autonomous characteristic of UAV, path planning is one of the crucial issues. Current researches on the graph search algorithms under combinatorial method are mainly reviewed in this paper by keeping focus on the comprehensive surveys of its properties for path planning. The outcome is a pen picture of their assumptions and drawbacks. |
Databáze: | OpenAIRE |
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