£120.72

Springer Embedded Platforms for UAS Landing and Obstacle Detection

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Description

Expand your technical knowledge with this specialized volume from Springer. Part of the Studies in Systems, Decision and Control series (530), this book focuses on navigation support systems for Urban Air Mobility (UAM) operations. It provides technical insights into embedded platforms designed for UAS landing path and obstacle detection. As drone technology and urban air mobility continue to evolve, understanding the systems that manage navigation and obstacle avoidance becomes a priority for professionals in the field. This text serves as a resource for those studying the intersection of computer science, AI, and machine learning within the context of autonomous flight systems. Whether you are a researcher or a student, this publication offers a deep dive into the systems and decision-making processes required for safe and efficient UAS operations in complex urban environments.

Key Features

Part of the Studies in Systems, Decision and Control series (Volume 530) for academic and professional research.

Focuses on navigation support systems specifically designed for Urban Air Mobility (UAM) operations.

Covers technical aspects of embedded platforms used for UAS landing path management.

Provides detailed information on obstacle detection technologies for unmanned aerial systems.

Relevant for professionals studying computer science, AI, and machine learning applications in aviation.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 June 2025
Listed Since
08 August 2025

Barcode

No barcode data available

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