Advanced Microsystems for Automotive Applications 2015
Smart Systems for Green and Automated Driving
1st Edition
Published on 30. June 2015
XI, 275 pages
978-3-319-20855-8 (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
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XI, 275 p. 145 illus., 128 illus. in color.
File size
9,41 MB
ISBN-13
978-3-319-20855-8 (9783319208558)
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
07/2015
Springer
€160.49
Shipment within 10-15 days
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.
