000 05254nam a22005175i 4500
001 978-1-4419-9607-7
003 DE-He213
005 20140220083234.0
007 cr nn 008mamaa
008 120202s2012 xxu| s |||| 0|eng d
020 _a9781441996077
_9978-1-4419-9607-7
024 7 _a10.1007/978-1-4419-9607-7
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aHansen, John H.L.
_eeditor.
245 1 0 _aDigital Signal Processing for In-Vehicle Systems and Safety
_h[electronic resource] /
_cedited by John H.L. Hansen, Pinar Boyraz, Kazuya Takeda, Hüseyin Abut.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _aXXI, 325p. 166 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart 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-Vehicle Communication Networks -- 22: MATISSE: A Large Scale Multi-Agent System for Simulating Traffic Safety Scenarios.
520 _aCompiled 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 – vehicles that take into account and conform to the driver Driver-vehicle interfaces that take into account the driving task and cognitive load of the driver Best practices for In-Vehicle Corpus Development and distribution Information on multi-sensor analysis and fusion techniques for robust driver monitoring and driver recognition Knowledge distribution for vehicle-to-vehicle and vehicle-to-infrastructure communications 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, man-machine interfaces, human factors and transportation engineering.
650 0 _aEngineering.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aAutomotive Engineering.
650 2 4 _aControl.
650 2 4 _aSignal, Image and Speech Processing.
700 1 _aBoyraz, Pinar.
_eeditor.
700 1 _aTakeda, Kazuya.
_eeditor.
700 1 _aAbut, Hüseyin.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441996060
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-9607-7
912 _aZDB-2-ENG
999 _c100589
_d100589