Deep learning for unmanned systems
Koubaa, Anis.

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  • Deep learning for unmanned systems
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Deep learning for unmanned systems/ edited by Anis Koubaa, Ahmad Taher Azar.
    其他作者: Koubaa, Anis.
    出版者: Cham :Springer International Publishing : : 2021.,
    面頁冊數: viii, 732 p. :ill. (some col.), digital ;24 cm.
    內容註: Deep Learning for Unmanned Autonomous Vehicles: A Comprehensive Review -- Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment -- Reactive Obstacle Avoidance Method for a UAV -- Guaranteed Performances for Learning-Based Control Systems using Robust Control Theory -- A cascaded deep Neural Network for Position Estimation of Industrial Robots -- Managing Deep Learning Uncertainty for Autonomous Systems -- Uncertainty-Aware Autonomous Mobile Robot Navigation with Deep Reinforcement Learning -- Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-Grids -- Reinforcement learning for Autonomous Morphing Control and Cooperative Operations of UAV Cluster -- Image-Based Identification of Animal Breeds Using Deep Learning.
    Contained By: Springer Nature eBook
    標題: Automated vehicles - Control. -
    電子資源: https://doi.org/10.1007/978-3-030-77939-9
    ISBN: 9783030779399
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