AI for Unmanned Aerial Vehicles by Shuyan Hu (.PDF)
File Size: 8 MB
Artificial Intelligence for Unmanned Aerial Vehicles: Sensing, Communication, and Computing by Shuyan Hu, Xin Yuan, Kai Li, Wei Ni, Xin Wang
Requirements: .PDF reader, 8 mb | True PDF
Overview: In-depth exploration of machine learning techniques applied to UAV operations and communications, highlighting areas of potential growth and research gaps
Artificial Intelligence for Unmanned Aerial Vehicles provides a comprehensive overview of machine learning (ML) techniques used in unmanned aerial vehicle (UAV) operations, communications, sensing, and computing. It emphasizes key components of UAV activity to which ML can significantly contribute including perception and feature extraction, feature interpretation and regeneration, trajectory and mission planning, and aerodynamic control and operation.
The book considers the notion of security in the UAV network primarily in terms of its underlying rationale. This book also includes a detailed analysis of UAV behavior with respect to time and explores online machine learning-based solutions for UAV-assisted IoT networks.
Genre: Non-Fiction > Tech & Devices
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