Machine Learning And Embedded Computing In Advanced Driver Assistance Systems Adas


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Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)


Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

Author: John Ball

language: en

Publisher: MDPI

Release Date: 2019-10-01


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This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR and camera processing, ethics, and communications. Several new datasets are also provided for future research work. Researchers and others interested in these topics will find important advances contained in this book.

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)


Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

Author: John Ball

language: en

Publisher:

Release Date: 2019


DOWNLOAD





This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR and camera processing, ethics, and communications. Several new datasets are also provided for future research work. Researchers and others interested in these topics will find important advances contained in this book.

Intelligent Technologies for Internet of Vehicles


Intelligent Technologies for Internet of Vehicles

Author: Naercio Magaia

language: en

Publisher: Springer Nature

Release Date: 2021-06-09


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This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. It addresses the major new technological developments in the field and reflects current research trends and industry needs. It comprises a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoV networks. It also provides technical/scientific information about various aspects of AI technologies, ranging from basic concepts to research-grade material, including future directions. This book is intended for researchers, practitioners, engineers, and scientists involved in designing and developing protocols and AI applications and services for IoV-related devices.