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 Under Different Distraction Conditions 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: Multi-microphone Speech Enhancement in Cars.- 7: Likelihood-Maximising Frameworks for Enhanced In-Car Speech Recognition.- 8: Cognitive Dialog Systems for Dynamic Environments: Progress and Challenges.- 9: A Novel Way to Start Speech Dialogs in Cars by Talk-and-Push (TAP).- 10: Feature Compensation Employing Variational Model Composition for Robust Speech Recognition in In-Vehicle Environment.- 11: Dual-channel Speech Enhancement using Perceptual Filterbank for Hands-free Communication.- 12: Coupled Object Detection and Depth Estimation from Moving Vehicle.- Part C: Vehicle Dynamics, Acctive Safety, Corpora.- 13: Reference View Generating for Safe Driving Assistance.- 14: A Stochastic Signal Model for Predicting the Vehicle Trajectory at Lane Change.- 15: Real Time Replacement Paths for Vehicle Navigation Systems.- 16: An Adaptive Control Design for Input Rate-Constrained Vehicle Yaw Dynamics.- 17: Designing In-Vehicle Technologies to Enhance Visual Performance: Implications for Overtaking Maneuver.- Part D: Transportation, Vehicle Communications and Next Generation Vehicle Systems.- 18: Error Resilient Real-Time Multimedia Streaming over Vehicular Networks.- 19: MATISSE: A Large Scale Multi-Agent System for Simulating Traffic Safety Scenarios.
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
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.
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