Digital signal processing for in-vehicle systems and safety

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 DSPtechnologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. Thevolume 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. 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. INDICE: 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, ActiveSafety 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.

• ISBN: 978-1-4419-9606-0
• Editorial: Springer New York
• Encuadernacion: Cartoné
• Páginas: 269
• Fecha Publicación: 28/01/2012
• Nº Volúmenes: 1
• Idioma: Inglés