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Advanced Microsystems for Automotive Applications 2015 [electronic resource] : Smart Systems for Green and Automated Driving / edited by Tim Schulze, Beate M�uller, Gereon Meyer.

Contributor(s): Schulze, Tim [editor.] | M�uller, Beate [editor.] | Meyer, Gereon [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Mobility: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XI, 275 p. 145 illus., 128 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319208558.Subject(s): Engineering | Transportation | Automotive engineering | Transportation engineering | Traffic engineering | Electronic circuits | Sustainable development | Engineering | Automotive Engineering | Transportation | Transportation Technology and Traffic Engineering | Sustainable Development | Circuits and SystemsAdditional physical formats: Printed edition:: No titleDDC classification: 629.2 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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.

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