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131125s2014 xxu| s |||| 0|eng d |
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|a 9781461491200
|9 978-1-4614-9120-0
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|a 10.1007/978-1-4614-9120-0
|2 doi
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|a 621.382
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|a Smart Mobile In-Vehicle Systems
|h [electronic resource] :
|b Next Generation Advancements /
|c edited by Gerhard Schmidt, Huseyin Abut, Kazuya Takeda, John H.L. Hansen.
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|a 1st ed. 2014.
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2014.
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|a XX, 292 p. 165 illus., 79 illus. in color.
|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
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|a text file
|b PDF
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|a Part I: Sensor and Data Fusion.- Computational Aspects of Maximum Likelihood DOA Estimation of Two Targets with Applications to Automotive Radar -- Dense 3D Motion Field Estimation from a Moving Observer in Real-Time -- Intelligence in the Automobile of the Future -- Unmanned Ground Vehicle Otonobil: Design, Perception, and Decision Algorithms -- Part II: Speech and Audio Processing -- Car Hands-Free Testing and Optimization - An Overview -- A Wideband Automotive Hands-free System for Mobile HD Voice Services -- In-Car Communication -- Room in a Room: A Neglected Concept for Auralization -- Refinement and Temporal Interpolation of Short-Term Spectra - Theory and Applications -- Part III: Driver Distraction.- Effects of Multi-Tasking on Drivability through CAN-Bus Analysis -- Using Perceptual Evaluation to Quantify Cognitive and Visual Driver Distractions.- Part IV: Driving Behavior and User Profiling.- Evaluation Method for Safe Driving Skill Based on Driving Behavior Analysis and Situational Information at Intersections -- Pre- and Post-Accident Emotion Analysis on Driving Behaviour -- Part V: Driving Scene Analysis -- Content-Based Driving Scene Retrieval Using Driving Behavior and Environmental Driving Signals -- Driving Event Detection by Low-Complexity Analysis of Video Encoding Features -- Target Shape Estimation Using an Automotive Radar.
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|a This is an edited collection by world-class experts, from diverse fields, focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. The book presents developments on road safety, in-vehicle technologies and state-of-the art systems. Includes coverage of DSP technologies in adaptive automobiles, algorithms and evaluation of in-car communication systems, driver-status monitoring and stress detection, in-vehicle dialogue systems and human-machine interfaces, challenges in video and audio processing for in-vehicle products, multi-sensor fusion for driver identification and vehicle to infrastructure wireless technologies.
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|a Signal processing.
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|a Control engineering.
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650 |
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|a Automotive 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 Human-computer interaction.
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|a Telecommunication.
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4 |
|a Signal, Speech and Image Processing .
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|a Control and Systems Theory.
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650 |
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4 |
|a Automotive Engineering.
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650 |
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|a User Interfaces and Human Computer Interaction.
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650 |
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|a Communications Engineering, Networks.
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700 |
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|a Schmidt, Gerhard.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Abut, Huseyin.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Takeda, Kazuya.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Hansen, John H.L.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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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 Nature eBook
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776 |
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8 |
|i Printed edition:
|z 9781461491194
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776 |
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8 |
|i Printed edition:
|z 9781461491217
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776 |
0 |
8 |
|i Printed edition:
|z 9781493945948
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-1-4614-9120-0
|z Texto Completo
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912 |
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|a ZDB-2-ENG
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912 |
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|a ZDB-2-SXE
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950 |
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|a Engineering (SpringerNature-11647)
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950 |
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|a Engineering (R0) (SpringerNature-43712)
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