Digital Signal Processing for In-Vehicle Systems and Safety

✍ Scribed by Hynek Bořil, Pinar Boyraz, John H. L. Hansen (auth.), John H.L. Hansen, Pinar Boyraz, Kazuya Takeda, Hüseyin Abut (eds.)

• Publisher: Springer-Verlag New York
• Year: 2012
• Tongue: English
• Leaves: 331
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xxi
Front Matter....Pages 1-1
Towards Multimodal Driver’s Stress Detection....Pages 3-19
Driver Emotion Profiling from Speech....Pages 21-29
Driver Status Identification from Driving Behavior Signals....Pages 31-55
Multilayer Modeling of Driver Behavior Based on Hierarchical Mode Segmentation....Pages 57-70
Front Matter....Pages 71-71
Evaluation of In-Car Communication Systems....Pages 73-107
Wideband Hands-Free in Cars – New Challenges for System Design and Testing....Pages 109-121
A Novel Way to Start Speech Dialogs in Cars by Talk-and-Push (TAP)....Pages 123-131
Cognitive Dialog Systems for Dynamic Environments: Progress and Challenges....Pages 133-143
In-Vehicle Speech and Noise Corpora....Pages 145-157
A Likelihood-Maximizing Framework for Enhanced In-Car Speech Recognition Based on Speech Dialog System Interaction....Pages 159-174
Feature Compensation Employing Variational Model Composition for Robust Speech Recognition in In-Vehicle Environment....Pages 175-185
Dual-Channel Speech Enhancement Using a Perceptual Filterbank for Hands-Free Communication....Pages 187-194
Optimal Multi-Microphone Speech Enhancement in Cars....Pages 195-204
Front Matter....Pages 205-205
Generating Reference Views of Traffic Intersection for Safe Driving Assistance....Pages 207-215
Computer Vision Systems for “Context-Aware” Active Vehicle Safety and Driver Assistance....Pages 217-227
Integrated Pedestrian Detection and Localization Using Stereo Cameras....Pages 229-238
An Examination of Overtaking Judgments Based on Limitations in the Human Perceptual System: Implications for the Design of Driver-Assistance Systems....Pages 239-252
Advances in Multimodal Tracking of Driver Distraction....Pages 253-270
A Stochastic Approach for Modeling Lane-Change Trajectories....Pages 271-282
CAN-Bus Signal Analysis Using Stochastic Methods and Pattern Recognition in Time Series for Active Safety....Pages 283-292
Front Matter....Pages 293-293
Adaptive Error Resilient Mechanisms for Real-Time Multimedia Streaming over Inter-Vehicle Communication Networks....Pages 295-308
Matisse: A Large-Scale Multi-Agent System for Simulating Traffic Safety Scenarios....Pages 309-317
Back Matter....Pages 319-325

✦ Subjects

Signal, Image and Speech Processing; Automotive Engineering; Control; Signal, Image and Speech Processing