<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The main objective of this work is to develop a perception algorithm for self-driving cars which is based on pure vision data or camera data. The work is divided into two major parts. In part one of the work, we develop a powerful and robust lane detection algorithm which can determine the safely drive-able region in front of the car. In part two we develop and end to end driving model based on CNNs to learn from the drivers driving data and can drive the car with only the camera data from on-board cameras. Performance of the proposed system is observed by the implementation of the autonomous car that can be able to detect and classify the stop signs and other vehicles.</p>
</abstract>

The main objective of this work is to develop a perception algorithm for self-driving cars which is based on pure vision data or camera data. The work is divided into two major parts. In part one of the work, we develop a powerful and robust lane detection algorithm which can determine the safely drive-able region in front of the car. In part two we develop and end to end driving model based on CNNs to learn from the drivers driving data and can drive the car with only the camera data from on-board cameras. Performance of the proposed system is observed by the implementation of the autonomous car that can be able to detect and classify the stop signs and other vehicles.

Object and Lane Detection Technique for Autonomous Car Using Machine Learning Approach

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The main objective of this work is to develop a perception algorithm for self-driving cars which is based on pure vision data or camera data. The work is...

Object and Lane Detection Technique for Autonomous Car Using Machine Learning Approach

Publicado en línea: 20 nov 2021

Páginas: 383 - 391

DOI: https://doi.org/10.2478/ttj-2021-0029

Palabras clave
Image Processing, Machine Learning, Autonomous Cars, Self-Driving, Object Detection

© 2021 Raja Muthalagu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Object and Lane Detection Technique for Autonomous Car Using Machine Learning Approach

Publicado en línea: 20 nov 2021

Páginas: 383 - 391

DOI: https://doi.org/10.2478/ttj-2021-0029

Palabras claveImage Processing, Machine Learning, Autonomous Cars, Self-Driving, Object Detection

© 2021 Raja Muthalagu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Palabras clave
Image Processing, Machine Learning, Autonomous Cars, Self-Driving, Object Detection