Digital Signal Processing for In-Vehicle Systems and Safety, 2012

Langue : Anglais

Coordonnateurs : Hansen John H.L., Boyraz Pinar, Takeda Kazuya, Abut Hüseyin

Couverture de l’ouvrage Digital Signal Processing for In-Vehicle Systems and Safety

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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.

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-VehicleCommunication Networks.- 22: MATISSE: A Large Scale Multi-Agent System for Simulating Traffic Safety Scenarios.

Features new approaches for reducing driver inattention and preventing road accidents Includes recent advances in Smart-Car technology Provides coverage of autonomous vehicles that drive themselves Integrates multi-sensor fusion for driver ID and robust driver monitoring Includes supplementary material: sn.pub/extras