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Contents xiii Next Generation Drivetrain Concept Featuring Self-learning Capabilities Enabled by Extended Information Technology Functionalities ............................................... 217 Alexander Otto and Sven Rzepka Embedding Electrochemical Impedance Spectroscopy in Smart Battery Management Systems Using Multicore Technology. .......... 225 Eric Armengaud, Georg Macher, Riccardo Groppo, Marco Novaro, Alexander Otto, Ralf Döring, Holger Schmidt, Bartek Kras and Slawomir Stankiewicz Procedure for Optimization of a Modular Set of Batteries in a High Autonomy Electric Vehicle Regarding Control, Maintenance and Performance. ................................. 239 Emilio Larrodé Pellicer, Juan Bautista Arroyo García, Victoria Muerza Marín and B. Albesa Time to Market—Enabling the Specific Efficiency and Cooperation in Product Development by the Institutional Role Model ............ 253 Wolfgang H. Schulz and Matthias Müller
Part I Networked Vehicles & Navigation
Page 1 and 2: Lecture Notes in Mobility Tim Schul
Page 3 and 4: More information about this series
Page 5 and 6: Editors Tim Schulze VDI/VDE Innovat
Page 7 and 8: vi Preface cross-sectorial roadmap
Page 9 and 10: Steering Committee Mike Babala, TRW
Page 11: xii Contents Robust Facial Landmark
Page 15 and 16: 4 J. Rünz et al. Keywords Smartpho
Page 17 and 18: 6 J. Rünz et al. and x b ib from t
Page 19 and 20: 8 J. Rünz et al. In a localization
Page 21 and 22: 10 J. Rünz et al. Table 1 Major di
Page 23 and 24: 12 J. Rünz et al. Fig. 5 Horizonta
Page 25 and 26: 14 J. Rünz et al. which crosses th
Page 27 and 28: 16 J. Rünz et al. sensors like vid
Page 29 and 30: Probabilistic Integration of GNSS f
Page 41 and 42: 32 J. Hiltscher et al. an overview)
Page 43 and 44: 34 J. Hiltscher et al. operates in
Page 45 and 46: 36 J. Hiltscher et al. 3.5 Security
Page 47 and 48: 38 J. Hiltscher et al. 5 Results In
Page 49 and 50: 40 J. Hiltscher et al. 6 Conclusion
Page 51 and 52: Prototyping Framework for Cooperati
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56 S. Müller et al. 1 Trends—Aut
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58 S. Müller et al. Fig. 4 Complem
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60 S. Müller et al. Fig. 7 Tomorro
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62 S. Müller et al. verify Message
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64 S. Müller et al. hardware secur
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66 J. van Hattem more than 30 elect
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68 J. van Hattem operate between 30
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70 J. van Hattem Fig. 2 Map service
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72 J. van Hattem some hurdles to ma
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Part II Advanced Sensing, Perceptio
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78 S.A. Bagüés et al. Keywords Da
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80 S.A. Bagüés et al. Finally, Du
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82 S.A. Bagüés et al. Fig. 1 SADA
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84 S.A. Bagüés et al. • Generic
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86 S.A. Bagüés et al. As describe
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88 S.A. Bagüés et al. Up to 1000
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Robust Facial Landmark Localization
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Using eHorizon to Enhance Camera-Ba
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Performance Enhancements for the De
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126 M. Ali et al. 1 Introduction Ad
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128 M. Ali et al. 2 Physiological S
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130 M. Ali et al. features from EDA
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132 M. Ali et al. Fig. 2 Our propos
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134 M. Ali et al. strategy; this me
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136 M. Ali et al. Table 2 Performan
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138 M. Ali et al. 11. Soleymani M,
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Highly Automated Driving—Disrupti
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Scenario Identification for Validat
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166 D. Stumper et al. the task of p
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168 D. Stumper et al. 3.1 Generatio
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170 D. Stumper et al. On the other
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172 D. Stumper et al. Fig. 4 In the
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Functional Safety: On-Board Computi
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Part IV Smart Electrified Vehicles
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184 M. Sansa and H.I.H. Azami 1 Con
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186 M. Sansa and H.I.H. Azami from
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188 M. Sansa and H.I.H. Azami The g
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190 M. Sansa and H.I.H. Azami where
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192 M. Sansa and H.I.H. Azami total
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194 M. Sansa and H.I.H. Azami 3.3 A
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196 M. Sansa and H.I.H. Azami The H
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198 M. Sansa and H.I.H. Azami Fig.
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200 M. Sansa and H.I.H. Azami Refer
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202 R. John et al. demonstrate a ra
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204 R. John et al. project (i.e. re
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206 R. John et al. Fig. 2 Scheme of
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208 R. John et al. 4.1 Front Suspen
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210 R. John et al. adjustments requ
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212 R. John et al. MOT FR MOT BR IN
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214 R. John et al. Fig. 10 Prelimin
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Next Generation Drivetrain Concept
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Embedding Electrochemical Impedance
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240 E. Larrodé Pellicer et al. con
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242 E. Larrodé Pellicer et al. Fig
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248 E. Larrodé Pellicer et al. The
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Time to Market—Enabling the Speci
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