Object and Lane Detection Technique for Autonomous Car Using Machine Learning Approach
Author:
Muthalagu Raja1, Bolimera Anudeep Sekhar2, Duseja Dhruv1, Fernandes Shaun1
Affiliation:
1. Department of Computer Science , Birla Institute of Technology and Science Pilani Dubai Campus , Dubai , UAE 2. Electrical and Computer Engineering , Carnegie Mellon University Pittsburgh , PA, USA
Abstract
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.
Publisher
Walter de Gruyter GmbH
Subject
Computer Science Applications,General Engineering
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