Vehicle Systems and Driver Modelling : : DSP, human-to-vehicle interfaces, driver behavior, and safety / / ed. by Huseyin Abut, John Hansen, Gerhard Schmidt, Kazuya Takeda, Hanseok Ko.
World-class experts from academia and industry assembled at the sixth Biennial Workshop on Digital Signal Processing (DSP) for In-Vehicle Systems at Korea University, Seoul, Korea in 2013. The Workshop covered a wide spectrum of automotive fields, including in-vehicle signal processing and cutting-e...
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Table of Contents:
- Frontmatter
- Contents
- Preface
- List of contributing authors
- Part I: Vehicle System and Safety
- 1. Analysis of in-vehicle speech activity towards driver safety assessment
- 2. Stochastic behavior modeling for driver assistance using stream data processing
- 3. Using real road driving data to calibrate a model of front-end collision risk
- Part II: Driver Modeling
- 4. Driver mirror-checking action detection
- 5. Probabilistic driver modeling
- 6. Driving distance based analysis of driving maneuvers
- 7. Correlation of neurophysiological measurement of anxiety and driving behavior
- 8. Adaptation techniques for stochastic driver behavior modeling
- 9. Integrated modeling of driver gaze and vehicle operation behavior during lane changes
- Part III: Signal Processing for HVI
- 10. Speaker activity detection for distributed microphone systems in cars
- 11. Speech enhancement employing feature domain reconstruction for robust in-vehicle speech recognition
- 12. Driver adaptive prediction for pedestrian detectability using in-vehicle camera images
- 13. An audio-visual in-car corpus “CENSREC-2-AV” for robust bimodal speech recognition
- 14. Array-based speech enhancement for microphones on seat belts
- 15. How to create a clean Lombard speech database using loudspeakers
- Index
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