Autonomous Distracted Driver Detection using Machine learining Classifiers
| Author(s) | : | Prof. Praveen Hore, Prashant Tiwari, Ashwani Tiwari, Pawan Chauhan, Ravish Sharma |
| Institution | : | Department of Computer Engineering, Army Institute of Technology, Pune, India |
| Published In | : | Vol. 4, Issue 4 — April 2017 |
| Page No. | : | 294-300 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In most of the cases of accidents the prime cause of the accident is the distracted state of driver With theincrease of In Vehicle Information System such cases are increasing. This problem can be solved by monitoring andpredicting the state of driver while driving and installing the autonomous prevention system to take preventive actions. Inorder to realize this strategy we have used Convolutional Neural Networks and deep learning concepts in order to classifythe image of driver into 10 different classes that are which include texting,talking to passenger,talking on thephone,looking left or right,searching something at the back seat,hair and make up,operating radio and drinking. Once theclass of image is predicted the autonomous preventive system can be invoked to take the preventive steps accordingly
Prof. Praveen Hore, Prashant Tiwari, Ashwani Tiwari, Pawan Chauhan, Ravish Sharma, “Autonomous Distracted Driver Detection using Machine learining Classifiers”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 4, pp. 294-300, April 2017.
