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Elsevier - Decision-Making Techniques for Autonomous Vehicles

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Description

Explore the essential tools behind self-driving technology with Decision-Making Techniques for Autonomous Vehicles by Elsevier. This comprehensive guide provides a general overview of the control and decision-making methods used to navigate modern automated systems. Readers will learn about motion prediction and planning tools, alongside the application of machine learning to improve algorithm performance in real-world scenarios. The text also examines how driver monitoring and behavior analysis contribute to creating predictable and comprehensive reactions in automated vehicles. Beyond technical mechanics, this book addresses the necessary regulatory and ethical frameworks required for implementing robust decision-making processes. It is a valuable resource for understanding how technology, human behavior, and safety standards come together to shape the future of automotive transport.

Key Features

Covers essential control and decision-making tools designed for use in autonomous vehicle systems.

Explains motion prediction and planning tools to help manage vehicle movement and navigation.

Details the use of machine learning and adaptability to enhance algorithm performance in real scenarios.

Analyzes driver monitoring and behavior analysis to ensure predictable reactions in automated vehicles.

Addresses the regulatory and ethical issues involved in implementing robust decision-making processes.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 March 2023
Listed Since
23 May 2022

Barcode

No barcode data available

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