Indian Journal of Computer Science

Open Access Open Access  Restricted Access Subscription Access

Advanced Driver Assistant System


Affiliations
1 Student, Department of Robotics and Automation, PSG College of Technology, Avinashi Road, Peelamedu, Coimbatore – 641 004, Tamil Nadu, India
2 Assistant Professor, Department of Robotics and Automation, PSG College of Technology, Avinashi Road, Peelamedu, Coimbatore – 641 004, Tamil Nadu, India

   Subscribe/Renew Journal


Road accidents are the most terrifying thing that can happen to a driver. Worst of all, we refuse to learn from our mistakes along the way. The majority of road users are aware of the general rules and safety measures to take while on the road but injuries and crashes are caused by the negligence of road users. The most common cause of accidents and collision is human error. The aim of this project is to automate and improve the safety of vehicles. Lane Departure Warning System (LDWS) and Emergency Driver Assist System (EDAS) are described in this paper. The LDWS uses camera to track lane markers to see if the driver is drifting accidentally. In this project, whenever the vehicle is moving out of the lane, the device gives the driver a warning in the form of audio or visual signal. Whenever the driver's attention deviates from driving activity for a particular interval of time, EDAS alerts the driver.

Keywords

ADAS, EDAS, Lane Detection, LDWS, OpenCV, Sliding Window, TensorFlow.

Manuscript Received : May 24, 2021 ; Revised : June 24, 2021 ; Accepted : July 7, 2021. Date of Publication : August 5, 2021.

User
Subscription Login to verify subscription
Notifications
Font Size


  • Advanced Driver Assistant System

Abstract Views: 636  |  PDF Views: 0

Authors

Sanjay S.
Student, Department of Robotics and Automation, PSG College of Technology, Avinashi Road, Peelamedu, Coimbatore – 641 004, Tamil Nadu, India
Vasantha Kumar S.
Student, Department of Robotics and Automation, PSG College of Technology, Avinashi Road, Peelamedu, Coimbatore – 641 004, Tamil Nadu, India
Mohamed Rifayee Hussain Z.
Student, Department of Robotics and Automation, PSG College of Technology, Avinashi Road, Peelamedu, Coimbatore – 641 004, Tamil Nadu, India
Saravana Kumar K.
Student, Department of Robotics and Automation, PSG College of Technology, Avinashi Road, Peelamedu, Coimbatore – 641 004, Tamil Nadu, India
Dineshkumar S.
Student, Department of Robotics and Automation, PSG College of Technology, Avinashi Road, Peelamedu, Coimbatore – 641 004, Tamil Nadu, India
Rathika P. D.
Assistant Professor, Department of Robotics and Automation, PSG College of Technology, Avinashi Road, Peelamedu, Coimbatore – 641 004, Tamil Nadu, India

Abstract


Road accidents are the most terrifying thing that can happen to a driver. Worst of all, we refuse to learn from our mistakes along the way. The majority of road users are aware of the general rules and safety measures to take while on the road but injuries and crashes are caused by the negligence of road users. The most common cause of accidents and collision is human error. The aim of this project is to automate and improve the safety of vehicles. Lane Departure Warning System (LDWS) and Emergency Driver Assist System (EDAS) are described in this paper. The LDWS uses camera to track lane markers to see if the driver is drifting accidentally. In this project, whenever the vehicle is moving out of the lane, the device gives the driver a warning in the form of audio or visual signal. Whenever the driver's attention deviates from driving activity for a particular interval of time, EDAS alerts the driver.

Keywords


ADAS, EDAS, Lane Detection, LDWS, OpenCV, Sliding Window, TensorFlow.

Manuscript Received : May 24, 2021 ; Revised : June 24, 2021 ; Accepted : July 7, 2021. Date of Publication : August 5, 2021.


References





DOI: https://doi.org/10.17010/ijcs%2F2021%2Fv6%2Fi3-4%2F165410