In-Vehicle corpus and signal processing for driver behavior
In-Vehicle Corpus and Signal Processing for Driver Behavior is comprised of expanded papers from the third biennial DSPinCARS held in Istanbul in June 2007. The goal is to bring together scholars working on the latest techniques, standards, and emerging deployment on this central field of living at...
Kaydedildi:
| Diğer Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
New York, NY :
Springer US : Imprint: Springer
[20..].
Cham : Springer Nature |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • In-Vehicle Corpus and Signal Processing for Driver Behavior, Texte imprimé, 9780387795812 |
İçindekiler:
- Improved Vehicle Safety and How Technology Will Get Us There, Hopefully New Concepts on Safe Driver-Assistance Systems Real-World Data Collection with UYANIK On-Going Data Collection of Driving Behavior Signals UTDrive: The Smart Vehicle Project Wireless Lan-Based Vehicular Location Information Processing Perceptually Optimized Packet Scheduling for Robust Real-Time Intervehicle Video Communications Machine Learning Systems for Detecting Driver Drowsiness Extraction of Pedestrian Regions Using Histogram and Locally Estimated Feature Distribution EEG Emotion Recognition System Three-Dimensional Ultrasound Imaging in Air for Parking and Pedestrian Protection A New Method for Evaluating Mental Work Load In n-Back Tasks Estimation of Acoustic Microphone Vocal Tract Parameters from Throat Microphone Recordings Cross-Probability Model Based on Gmm for Feature Vector Normalization Robust Feature Combination for Speech Recognition Using Linear Microphone Array in a Car Prediction of Driving Actions from Driving Signals Design of Audio-Visual Interface for Aiding Driver s Voice Commands in Automotive Environment Estimation of High-Variance Vehicular Noise Feature Compensation Employing Model Combination for Robust In-Vehicle Speech Recognition