
Advanced Microsystems for Automotive Applications 2015
Smart Systems for Green and Automated Driving
Springer (Publisher)
Published on 9. July 2015
Book
Hardback
XI, 275 pages
978-3-319-20854-1 (ISBN)
Description
This edited volume presents the proceedings of the AMAA 2015 conference, Berlin, Germany. The topical focus of the 2015 conference lies on smart systems for green and automated driving. The automobile of the future has to respond to two major trends, the electrification of the drivetrain, and the automation of the transportation system. These trends will not only lead to greener and safer driving but re-define the concept of the car completely, particularly if they interact with each other in a synergetic way as for autonomous parking and charging, self-driving shuttles or mobile robots. Key functionalities like environment perception are enabled by electronic components and systems, sensors and actuators, communication nodes, cognitive systems and smart systems integration. The book will be a valuable read for research experts and professionals in the automotive industry but the book may also be beneficial for graduate students.
More details
Series
Edition
2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
128 farbige Abbildungen, 17 s/w Abbildungen
XI, 275 p. 145 illus., 128 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 22 mm
Weight
600 gr
ISBN-13
978-3-319-20854-1 (9783319208541)
DOI
10.1007/978-3-319-20855-8
Schweitzer Classification
Other editions
Additional editions

Tim Schulze | Beate Müller | Gereon Meyer
Advanced Microsystems for Automotive Applications 2015
Smart Systems for Green and Automated Driving
Book
10/2016
Springer
€160.49
Shipment within 10-15 days

Tim Schulze | Beate Müller | Gereon Meyer
Advanced Microsystems for Automotive Applications 2015
Smart Systems for Green and Automated Driving
E-Book
06/2015
1st Edition
Springer
€149.79
Available for download
Content
Autonomous Parking Using Previous Paths.- Dynamic eHorizon with Traffic Light Information for Efficient Urban Traffic.- Virtual Stochastic Testing of Advanced Driver Assistance Systems.- Shockwave Analysis on Motorways and Possibility of Damping by Autonomous Vehicles.- Driver Head Pose Estimation by Regression.- Future Computer Vision Algorithms for Traffic Sign Recognition Systems.- Inertial Sensors Integration for Advanced Positioning Systems.- Automotive LIDAR-based strategies for obstacle detection application in rural and secondary roads.