Publication Type : Conference Proceedings
Publisher : Machine Learning and Metaheuristics Algorithms, and Applications, Springer Singapore,
Source : Machine Learning and Metaheuristics Algorithms, and Applications, Springer Singapore, Singapore, p.196-207 (2020)
ISBN : 9789811543012
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2020
Abstract : The contemporary age has seen a tremendous increase in the number of road accidents. Traffic accidents are commonly caused by driver error, mobile phone usage, in-car audio and video entertainment systems, and extensive traffic. The road accident in India causes one death every four minutes. Imagine if everyone can easily and safely get around while driving is not tired, drunk or distracted. Self-driving means of transport are those in which drivers are never required to drive the vehicle. In self-driving car, time spent on travel may well be time spent doing what one needs, because all driving is handled by the car. Also referred to as autonomous or ``driverless'' cars, they mix sensors and code to manage, navigate, and drive the vehicle. The self-driving cars have huge potential to alter the means of transportation. We have proposed an end-to-end method based on deep learning for estimating the steering angle and the accuracy obtained is 98.6%.
Cite this Research Publication : A. Kumar and Dr. Suja P., “Steering Angle Estimation for Self-driving Car Using Deep Learning”, Machine Learning and Metaheuristics Algorithms, and Applications. Springer Singapore, Singapore, pp. 196-207, 2020.