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商品コード: 9783319447650

Advanced Microsystems for Automotive Applications

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書名

Advanced Microsystems for Automotive Applications 2016: Smart Systems for the Automobile of the Future
著者・編者 Schulze, T. et al.
出版社/発行元 Springer
発行年/月 2016年10月   
装丁 Hardcover
ページ数/巻数 268 ページ
ISBN 978-3-319-44765-0
発送予定 海外倉庫よりお取り寄せ 2-3週間以内に発送します

 

 

Desciption

 

This book contains the papers presented at the 20th anniversary edition of the AMAA conference held in Brussels, Belgium in 2016. The theme of the conference was “Smart Systems for the Automobile of the Future”. The automobile is currently being reshaped at unprecedented pace. Automation and electrification are the two dominant megatrends which dramatically change the choice and design of components, systems, vehicular architectures and ultimately the way we use cars in the coming decades. Novel E/E architectures, vehicular connectivity and cloud services will be key to extending the perception and decision-making horizons of automated vehicles, to enable cooperative functions and a seamless digital user experience. The AMAA’s ongoing mission to detect novel trends in automotive ICT, electronics and smart systems and to discuss the technological implications is once again reflected in this volume. The book will be a valuable read for research experts and professionals in the automotive and smart systems industry but the book may also be beneficial for graduate students.

 

 

Contents:

 

Part I Networked Vehicles & Navigation
Requirements and Evaluation of a Smartphone Based
Dead Reckoning Pedestrian Localization for Vehicle Safety
Applications
Probabilistic Integration of GNSS for Safety-Critical
Driving Functions and Automated Driving-the NAVENTIK
Project
Is IEEE 802.11p V2X Obsolete Before it is Even Deployed?.
Prototyping Framework for Cooperative Interaction
of Automated Vehicles and Vulnerable Road Users
Communication Beyond Vehicles-Road to Automated
Driving
What About the Infrastructure?

Part II Advanced Sensing, Perception and Cognition Concepts
Towards Dynamic and Flexible Sensor Fusion for Automotive
Applications
Robust Facial Landmark Localization for Automotive
Applications
Using eHorizon to Enhance Camera-Based Environmental
Perception for Advanced Driver Assistance Systems
and Automated Driving
Performance Enhancements for the Detection of Rectangular
Traffic Signs
CNN Based Subject-Independent Driver Emotion Recognition
System Involving Physiological Signals for ADAS

 

Part III Safety and Methodological Challenges of Automated
Driving
Highly Automated Driving-Disruptive Elements
and Consequences
Scenario Identification for Validation of Automated Driving
Functions
Towards Characterization of Driving Situations via
Episode-Generating Polynomials
Functional Safety: On-Board Computing of Accident Risk
Optimal Predictive Control for Intelligent Usage of Hybrid
Vehicles
Light Electric Vehicle Enabled by Smart Systems Integration
Next Generation Drivetrain Concept Featuring Self-learning
Capabilities Enabled by Extended Information Technology
Functionalities
Embedding Electrochemical Impedance Spectroscopy in Smart
Battery Management Systems Using Multicore Technology
Procedure for Optimization of a Modular Set of Batteries
in a High Autonomy Electric Vehicle Regarding Control,
Maintenance and Performance
Time to Market-Enabling the Specific Efficiency and Cooperation
in Product Development by the Institutional Role Model

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