Driverless Eyes off Road Detection System

P Sravanthi; N.Sukumar

Driverless Eyes off Road Detection System

Authors: P Sravanthi, N.Sukumar

Unique Paper ID: 144864
Volume: 3
Issue: 5
PageNo: 305-308

Keywords: Road Detection Driverless car EOR

Abstract:
Distracted driving is one of the main causes of vehicle collisions. Passively monitoring a driverâ€™s activities constitutes the basis of an automobile safety system that can potentially reduce the number of accidents by estimating the driverâ€™s focus of attention. This paper proposes an inexpensive vision-based system to accurately detect Eyes off the Road (EOR). The system has three main components: 1) robust facial feature tracking; 2) head pose and gaze estimation; and 3) 3-D geometric reasoning to detect EOR. From the video stream of a camera installed on the steering wheel column, our system tracks facial features from the driverâ€™s face. The system computes head pose and gaze direction. The head pose estimation algorithm is robust to non-rigid face deformations due to changes in expressions. Finally, using video based continuous image the system reliably detects EOR. The proposed system does not require any driver-dependent calibration or manual initialization and works in real time, during the day and night. To validate the performance of the system in a real car environment, we conducted a comprehensive experimental evaluation under a wide variety illumination conditions, facial expressions, and individuals. Our system achieved above 90% EOR accuracy for all tested scenarios.

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Cite This Article

ISSN: 2349-6002
Volume: 3
Issue: 5
PageNo: 305-308

Driverless Eyes off Road Detection System

Available:https://ijirt.org/Article?manuscript=144864

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Impact Factor
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UGC Approved
Journal no 47859

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