Drive-Safe Signal Processing & Advanced Information Technologies ...

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Face Recognition from video images Difficulties • Wide pose and light variations • low quality video • small face images
Speech Sampling: 16 kHz; 16-bit/sample; 12 channels Video MPEG-1; 29.97 frames per second; 3 channels Driving <strong>Signal</strong>s Acceleration, Accelerator Pedal Pressure, Brake Pedal pressure, Steering Wheel Angle, Engine RPM, Vehicle Speed: Each at 16 bit/sample and 1.0 kHz. Location Differential GPS: one reading per second
Page 1 and 2: Drive-Safe Signal Processing & Adva
Page 3 and 4: Justification of the Project Driver
Page 5 and 6: EXAMPLES (cont): Canada (1998): 33
Page 7 and 8: In Turkey, the ratio of highway usa
Page 10 and 11: Current Funding Status: • Turkish
Page 13 and 14: Sensors Video Sensors: 3 day, 3 nig
Page 15 and 16: Behringer/UltraGain Pro8 Digital AD
Page 17: Data obtained from the CANbus • t
Page 26 and 27: Nagoya University Data Acquisition
Page 28 and 29: 3D modeling of the course
Page 30 and 31: Analysis of Nagoya University Data
Page 34 and 35: Driver Verification Verification: D
Page 36 and 37: Analyzing driving signals The exper
Page 38 and 39: Sub-band band based SR The goal is
Page 40 and 41: Difficulties:
Page 42 and 43: • Facial Expression Analysis Faci
Page 44: Proposed Architecture Subcomponents
Page 47 and 48: Mouth Action Units Prediction Resul
Page 49 and 50: Future Work include: Analyzing driv
Page 51 and 52: Development of realistic cars Car
Page 53 and 54: Lane Following Assistance In the ca
Page 55 and 56: Future Tasks Reduce the vehicle s

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