Multi Sensor Fusion In Automated Driving A Survey


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The Proceedings of the International Conference on Electrical Systems & Automation


The Proceedings of the International Conference on Electrical Systems & Automation

Author: Mohamed Bendaoud

language: en

Publisher: Springer Nature

Release Date: 2022-03-30


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This book which is the second part of two volumes on ''Control of Electrical and Electronic Systems” presents a compilation of selected contributions to the 1st International Conference on Electrical Systems & Automation. The book provides rigorous discussions, the state of the art, and recent developments in the modelling, simulation and control of power electronics, industrial systems, and embedded systems. The book will be a valuable reference for beginners, researchers, and professionals interested in control of electrical and electronic systems.

Autonomous Vehicles and Systems


Autonomous Vehicles and Systems

Author: Ishwar K. Sethi

language: en

Publisher: CRC Press

Release Date: 2024-02-06


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This book captures multidisciplinary research encompassing various facets of autonomous vehicle systems (AVS) research and developments. The AVS field is rapidly moving towards realization with numerous advances continually reported. The contributions to this field come from widely varying branches of knowledge, making it a truly multidisciplinary area of research and development. The topics covered in the book include: AI and deep learning for AVS Autonomous steering through deep neural networks Adversarial attacks and defenses on autonomous vehicles Gesture recognition for vehicle control Multi-sensor fusion in autonomous vehicles Teleoperation technologies for AVS Simulation and game theoretic decision making for AVS Path following control system design for AVS Hybrid cloud and edge solutions for AVS Ethics of AVS

Multi-Sensor Information Fusion


Multi-Sensor Information Fusion

Author: Xue-Bo Jin

language: en

Publisher: MDPI

Release Date: 2020-03-23


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This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.