Read Knowledge Graph-Based Methods for Automated Driving

Knowledge Graph-Based Methods for Automated Driving

Rajesh Kumar Dhanaraj

4.9/5 (24388 ratings)

Description:The global race to develop and deploy automated vehicles is still hindered by significant challenges, with the related complexities requiring multidisciplinary research approaches. Knowledge Graph-Based Methods for Automated Driving offers sought-after, specialized know-how for a wide range of readers both in academia and industry on the use of graphs as knowledge representation techniques which, compared to other relational models, provide a number of advantages for data-driven applications like automated driving tasks. The machine learning pipeline presented in this volume incorporates a variety of auxiliary information, including logic rules, ontology-informed workflows, simulation outcomes, differential equations, and human input, with the resulting operational framework being more reliable, secure, efficient as well as sustainable. Case studies and other practical discussions exemplify these methods' promising and exciting prospects for the maturation of scalable solutions with potential to transform transport and logistics worldwide. - Systematically covers knowledge graphs for automated driving processes - Includes real-life case studies, facilitating an understanding of current challenges - Analyzes the impact of various technological aspects related to automation across a range of transport modes, networks, and infrastructuresWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Knowledge Graph-Based Methods for Automated Driving. To get started finding Knowledge Graph-Based Methods for Automated Driving, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 430

Format: PDF, EPUB & Kindle Edition

Publisher: Elsevier

Release: 2025

ISBN: 9780801892318

Description: The global race to develop and deploy automated vehicles is still hindered by significant challenges, with the related complexities requiring multidisciplinary research approaches. Knowledge Graph-Based Methods for Automated Driving offers sought-after, specialized know-how for a wide range of readers both in academia and industry on the use of graphs as knowledge representation techniques which, compared to other relational models, provide a number of advantages for data-driven applications like automated driving tasks. The machine learning pipeline presented in this volume incorporates a variety of auxiliary information, including logic rules, ontology-informed workflows, simulation outcomes, differential equations, and human input, with the resulting operational framework being more reliable, secure, efficient as well as sustainable. Case studies and other practical discussions exemplify these methods' promising and exciting prospects for the maturation of scalable solutions with potential to transform transport and logistics worldwide. - Systematically covers knowledge graphs for automated driving processes - Includes real-life case studies, facilitating an understanding of current challenges - Analyzes the impact of various technological aspects related to automation across a range of transport modes, networks, and infrastructuresWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Knowledge Graph-Based Methods for Automated Driving. To get started finding Knowledge Graph-Based Methods for Automated Driving, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Knowledge Graph-Based Methods for Automated Driving

Knowledge Graph-Based Methods for Automated Driving

More Books

Explainable AI (XAI) for Industrial Cyber Security

Explainable AI (XAI) for Industrial Cyber Security

Metaverse Technologies in Healthcare

Metaverse Technologies in Healthcare

Artificial Intelligence for Next-Generation Smart Wearable Systems

Artificial Intelligence for Next-Generation Smart Wearable Systems

Digital Twin for Smart Manufacturing

Digital Twin for Smart Manufacturing

Networked Sensing Systems

Networked Sensing Systems

Digital Twins in Industrial Production and Smart Manufacturing: An Understanding of Principles, Enhancers, and Obstacles

Digital Twins in Industrial Production and Smart Manufacturing: An Understanding of Principles, Enhancers, and Obstacles

Self-Learning AI in Healthcare: Agentic Systems for Smarter Medicine

Self-Learning AI in Healthcare: Agentic Systems for Smarter Medicine

Emotional Artificial Intelligence: Practical Challenges and Applications

Emotional Artificial Intelligence: Practical Challenges and Applications

Artificial Intelligence in IoT and Cyborgization (Studies in Computational Intelligence Book 1103)

Artificial Intelligence in IoT and Cyborgization (Studies in Computational Intelligence Book 1103)