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03635nam a22005295i 4500 |
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978-3-540-74474-0 |
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DE-He213 |
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20151204181348.0 |
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|a 9783540744740
|9 978-3-540-74474-0
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|a 10.1007/978-3-540-74474-0
|2 doi
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|a Holzmann, Frédéric.
|e author.
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|a Adaptive Cooperation between Driver and Assistant System
|h [electronic resource] :
|b Improving Road Safety /
|c by Frédéric Holzmann.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2008.
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| 300 |
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|a XIII, 225 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a New concept of cooperation -- Needs of improved assistant systems -- Adaptive cooperation between driver and assistant system -- Executive level as vehicle platform -- Requirements for the executive level -- Road–tire ? friction coefficient estimation -- Actuators and drive train architecture -- Vehicle dynamics model -- Performing the vehicle command -- Virtual driver for the cooperation -- Extended middleware for fault-tolerant architecture -- Agents derived from the robotic field -- Tactic agent for speedway/highway -- Adaptive cooperation -- Methodology of a fault-tolerant adaptive cooperation -- Understanding the driver maneuver -- Determination of the driver drowsiness -- Cooperation at the command level -- Feedback management for the driver and the virtual driver -- Discussion on the proposed concept -- Concept summary and overview of the functionalities -- General conclusion.
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|a One of the next challenges in vehicular technology field is to improve drastically the road safety. Current developments are focusing on both vehicle platform and diverse assistance systems. This book presents a new engineering approach based on lean vehicle architecture ready for the drive-by-wire technology. Based on a cognitive functionality split, execution and command levels are detailed. The execution level centralized over the stability control performs the motion vector coming from the command level. At this level the driver generates a motion vector which is continuously monitored by a virtual co-pilot. The integration of assistance systems in a safety relevant multi-agent system is presented here to provide first an adequate feedback to the driver to let him recover a dangerous situation. Robust strategies are also presented for the intervention phase once the command vehicle has to be optimized to stay within the safety envelope.
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| 650 |
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|a Engineering.
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| 650 |
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|a User interfaces (Computer systems).
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Mechanical engineering.
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| 650 |
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|a Automotive engineering.
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| 650 |
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|a Control engineering.
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| 650 |
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|a Robotics.
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| 650 |
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|a Mechatronics.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Mechanical Engineering.
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| 650 |
2 |
4 |
|a Automotive Engineering.
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| 650 |
2 |
4 |
|a Control, Robotics, Mechatronics.
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| 650 |
2 |
4 |
|a User Interfaces and Human Computer Interaction.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783540744733
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-540-74474-0
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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