Digital Signal Processing for In-Vehicle Systems and Safety
1st Edition
Published on 2. February 2012
XXII, 326 pages
978-1-4419-9607-7 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
Springer US
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XXII, 326 p.
File size
12,23 MB
ISBN-13
978-1-4419-9607-7 (9781441996077)
DOI
10.1007/978-1-4419-9607-7
Schweitzer Classification
Other editions
Additional editions
John H.L. Hansen | Pinar Boyraz | Kazuya Takeda
Digital Signal Processing for In-Vehicle Systems and Safety
Book
03/2014
Springer
€160.49
Shipment within 15-20 days
John H.L. Hansen | Pinar Boyraz | Kazuya Takeda
Digital Signal Processing for In-Vehicle Systems and Safety
Book
12/2011
Springer
€160.49
Shipment within 15-20 days
Content
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.
