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Knowledge Graph-Based Methods for Automated Driving

Edited by Rajesh Kumar Dhanaraj, Edited by M. Nalini, Edited by Malathy Sathyamoorthy, Edited by Manar Mohaisen

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normal price: R 9 827.95

Price: R 8 844.95


| book 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.

| product details |



Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Elsevier - Health Sciences Division
Published date | 30 May 2025
Language |
Format | Paperback / softback
Pages | 428
Dimensions | 229 x 152 x 0mm (L x W x H)
Weight | 450g
ISBN | 978-0-4433-0040-0
Readership Age |
BISAC | technology / engineering / automotive


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