2014 | OriginalPaper | Buchkapitel
A Framework to Evolutionary Path Planning for Autonomous Underwater Glider
verfasst von : Shih Chien-Chou, Yang Yih, Horng Mong-Fong, Pan Tien-Szu, Pan Jeng-Shyang
Erschienen in: Modern Advances in Applied Intelligence
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In recent decade years, AUG has been attached importance to oceanographic sampling tool. AUG is a buoyancy driven vehicle with low energy consumption, and capable of long-term and large-scale oceanographic sampling. However, ocean environment is characterized by variable and severe current fields, which jeopardizes AUG cruise. Therefore, an efficient path planning is a key point that can assist AUG to arrive at each waypoint and reduces the energy consumption to prolong AUG sampling time. To improve AUG cruise efficiency, a path planning framework with evolutionary computation is proposed to map out an optimal cruising path and increases AUG mission reachability in this work.