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Handbook of Driver Assistance Systems

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Cover of 'Handbook of Driver Assistance Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Capabilities of Humans for Vehicle Guidance
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    Chapter 2 Driver Behavior Models
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    Chapter 3 Framework Conditions for the Development of Driver Assistance Systems
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    Chapter 4 Driver Assistance and Road Safety
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    Chapter 5 Behavioral Aspects of Driver Assistance Systems
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    Chapter 6 Functional Safety of Driver Assistance Systems and ISO 26262
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    Chapter 7 AUTOSAR and Driver Assistance Systems
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    Chapter 8 Virtual Integration in the Development Process of ADAS
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    Chapter 9 Dynamic Driving Simulators
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    Chapter 10 Vehicle in the Loop
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    Chapter 11 Test Methods for Consumer Protection and Legislation for ADAS
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    Chapter 12 User-Oriented Evaluation of Driver Assistance Systems
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    Chapter 13 Evaluation Concept EVITA
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    Chapter 14 Testing with Coordinated Automated Vehicles
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    Chapter 15 Vehicle Dynamics Sensors for DAS
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    Chapter 16 Ultrasonic Sensors for a K44DAS
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    Chapter 17 Automotive RADAR
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    Chapter 18 Automotive LIDAR
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    Chapter 19 PRORETA 3: Comprehensive Driver Assistance by Safety Corridor and Cooperative Automation
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    Chapter 20 Automotive Camera (Hardware)
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    Chapter 21 Fundamentals of Machine Vision
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    Chapter 22 Stereovision for ADAS
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    Chapter 23 Camera Based Pedestrian Detection
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    Chapter 24 Data Fusion of Environment-Perception Sensors for ADAS
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    Chapter 25 Representation of Fused Environment Data
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    Chapter 26 Data Fusion for Precise Localization
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    Chapter 27 Digital Maps for ADAS
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    Chapter 28 Vehicle-2-X
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    Chapter 29 Backend Systems for ADAS
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    Chapter 30 Hydraulic Brake Systems for Passenger Vehicles
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    Chapter 31 Electro-Mechanical Brake Systems
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    Chapter 32 Steering Actuator Systems
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    Chapter 33 Guidelines for User-Centered Development of DAS
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    Chapter 34 Design of Human-Machine-Interfaces for DAS
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    Chapter 35 Input Devices for DAS
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    Chapter 36 Information Visualization for DAS
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    Chapter 37 Driver Warning Elements
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    Chapter 38 Driver Condition Detection
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    Chapter 39 Driver Intent Inference and Risk Assessment
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    Chapter 40 Brake-Based Assistance Functions
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    Chapter 41 Vehicle Dynamics Control with Braking and Steering Intervention
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    Chapter 42 Vehicle Dynamics Control Systems for Motorcycles
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    Chapter 43 Brake-Based Stability Assistance Functions for Commercial Vehicles
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    Chapter 44 Visibility Improvement Systems for Passenger Cars
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    Chapter 45 Parking Assistance
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    Chapter 46 Adaptive Cruise Control
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    Chapter 47 Fundamentals of Collision Protection Systems
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    Chapter 48 Development Process of Forward Collision Prevention Systems
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    Chapter 49 Lateral Guidance Assistance
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    Chapter 50 Lane Change Assistance
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    Chapter 51 Intersection Assistance
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    Chapter 52 Traffic Jam Assistance and Automation
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    Chapter 53 Road Assistance for Commercial Vehicles
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    Chapter 54 Assistance Systems in Agricultural Engineering
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    Chapter 55 Navigation and Transport Telematics
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    Chapter 56 Future Integration Concepts for ADAS
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    Chapter 57 Anti Collision System PRORETA
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    Chapter 58 Cooperative Guidance, Control, and Automation
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    Chapter 59 Conduct-by-Wire
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    Chapter 60 H-Mode
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    Chapter 61 Autonomous Driving
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    Chapter 62 ADAS, Quo Vadis?
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    Chapter 64 Integrated Trajectory Optimization
Overall attention for this book and its chapters
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Citations

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Title
Handbook of Driver Assistance Systems
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-12352-3
ISBNs
978-3-31-912351-6, 978-3-31-912352-3, 978-3-31-912353-0
Editors

Hermann Winner, Stephan Hakuli, Felix Lotz, Christina Singer

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 20%
Student > Ph. D. Student 26 17%
Student > Bachelor 10 6%
Student > Doctoral Student 7 4%
Researcher 6 4%
Other 14 9%
Unknown 63 40%
Readers by discipline Count As %
Engineering 63 40%
Computer Science 18 11%
Psychology 2 1%
Linguistics 1 <1%
Agricultural and Biological Sciences 1 <1%
Other 5 3%
Unknown 67 43%