Advanced Microsystems for Automotive Applications 2015

Smart Systems for Green and Automated Driving
Softcover Nachdruck of the original 1. Auflage 2016
ISBN: 978-3-319-37018-7
Verlag: Springer International Publishing

Buch, Englisch, 275 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 4394 g

Reihe: Lecture Notes in Mobility

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.

Zielgruppe

Research

Autoren/Hrsg.

Schulze, Tim

Meyer, Gereon

Müller, Beate

Fachgebiete

• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Mechatronik, Mikrosysteme (MEMS), Nanosysteme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Elektronische Baugruppen, Elektronische Materialien

Inhaltsverzeichnis

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.