Digital Signal Processing for In-Vehicle Systems and.. - John H.L. Hansen

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Digital Signal Processing for In-Vehicle Systems and Safety

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Herausgeber:

John H.L. Hansen, Pinar Boyraz, Kazuya Takeda, Huseyin Abut

Verlag:

Springer-Verlag New York Inc.

Jahr:

2011

Seiten:

348 Seiten

Produktart:

Buch / Hardcover

ISBN/EAN:

978-1-4419-9606-0

weitere Informationen

Auflage:

2012

Einbandart:

gebunden

Maße:

156 x 234 mm / 664 g

Abbildungen:

1, black & white illustrations

Listenpreis:

£ 117,00 (GBP); $ 179,00 (USD)

Sprache:

englisch

Kategorie:

Informatik

ISBN-10:

1-4419-9606-0 / 1441996060

ISBN-13:

978-1-4419-9606-0 / 9781441996060

Kundenbewertung:

Als erster bewerten

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eBook-Ausgabe

Titel:	Digital Signal Processing for In-Vehicle Systems and Safety
Autor / Hrsg.:	Kazuya Takeda; John H.L. Hansen; Hüseyin Abut; Pinar Boyraz
Verlag:	Springer-Verlag
Jahr:	2012 / 1. Auflage
Produkt-Art:	eBooks / eBook Download
Anmerkung:	eBook-Ausgabe
Preis:	139,05 €

2012 / 1. Aufl.

eBooks / eBook Download

139,05 €

Weitere Informationen von "Digital Signal Processing for In-Vehicle Systems and Safety":

This edited collection features contributions from world-class experts in a number of fields and focuses on how smart in-vehicle systems can be integrated with human-machine interfaces to enhance driver awareness and help prevent road accidents.

Compiled from papers of the 4th Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety this edited collection features world-class experts from diverse fields focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. Digital Signal Processing for In-Vehicle Systems and Safety presents new approaches on how to reduce driver inattention and prevent road accidents. The material addresses DSP technologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. The volume also features recent advances in Smart-Car technology, coverage of autonomous vehicles that drive themselves, and information on multi-sensor fusion for driver ID and robust driver monitoring. Digital Signal Processing for In-Vehicle Systems and Safety is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, bio-mechanics, human factors and transportation engineering.

Über den Autor:

PhD in Electrical Engineering; Dept. Head and Professor, IEEE Fellow; ISCA Fellow; Author/Co-Author of 372 journal & conference papers, book chapters, books; supervisor of 51 PhD/MS/MA thesis students. Present Appointment: Endowed Chair of the Electrical Engineering Dept Career to Date: Professor and Endowed Chair of the Electrical Engineering Dept

Inhaltsverzeichnis von "Digital Signal Processing for In-Vehicle Systems and Safety":

Part A: Driver Behavior and Monitoring Systems.- 1: Towards Multi-modal Driver's Stress Detection.- 2: Driver Emotion and Profiling from Speech.- 3: Driving Status Identification from Driving Behavior Signals.- 4: Multi-layer Modeling of Driving Behavior based on Hierarchical Mode Segmentation.- Part B: In-Vehicle Interactive/Speech Systems.- 5: Evaluation of In-Car Communication Systems.- 6: Wideband Hands-Free in Cars: New Challenges for System Design and Testing.- 7: A Novel Way to Start Speech Dialogs in Cars by Talk-and-Push (TAP).- 8: Cognitive Dialog Systems for Dynamic Environments: Progress and Challenges.- 9: In-Vehicle Speech and Noise Corpora.- 10: A Likelihood-Maximizing Framework for Enhanced In-Car Speech Recognition based on Speech Dialogue System Interaction.- 11: Feature Compensation Employing Variational Model Composition for Robust Speech Recognition in In-Vehicle Environment.- 12: Dual-Channel Speech Enhancement using a Filterbank for Hands-free Communication.- 13: Optimal Multi-Microphone Speech Enhancement in Cars.- Part C: Vehicle Dynamics, Vision, Active Safety and Corpora.- 14: Generating Reference Views of Traffic Intersection for Safe Driving Assistance.- 15: Computer Vision Systems for "Context Aware" Active Vehicle Safety and Driver Assistance.- 16: Integrated Pedestrian Detection and Localization using Stereo Cameras.- 17: An Examination of Overtaking Judgments Based on Limitations in the Human Perceptual System: Implications for the Design of Driver-Assistance Systems.- 18: Video-Audio Based Signal Processing for Assessing Driver-Based Emotion Status.- 19: A Stochastic Approach for Modeling Lane-Change Trajectories.- 20: CAN-Bus Signal Analysis Using Stochastic Methods and Pattern Recognition in Time Series for Active Safety. Part D: Transportation, Vehicle Communications and Next Generation Vehicle Systems.- 21: Adaptive Error Resilient Mechanisms for Real-Time Multimedia Streaming over Inter-Vehicle Communication Networks.- 22: MATISSE: A Large Scale Multi-Agent System for Simulating Traffic Safety Scenarios.