Steering Angle Prediction Based on Road Direction using Convolution Neural Network (CNN)

Author:

Conceicao Aires Da1,Degadwala Sheshang2

Affiliation:

1. U.G. Student, Sigma Institute of Engineering, Vadodara, Gujarat, India

2. Associate Professor, Sigma Institute of Engineering, Vadodara, Gujarat, India

Abstract

Self driving vehicle is a vehicle that can drive by itself it means without human interaction. This system shows how the computer can learn and the over the art of driving using machine learning techniques. Therefore for a car achieving the autonomous ability it must show the control of human activities while driving. Those activities include control of steering wheel. There exist different techniques to control the steering angle and one of them is CNN. In this article is going to show how CNN can be used to predict the steering angle.

Publisher

Technoscience Academy

Subject

General Medicine

Reference15 articles.

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2. Kluge K. Extracting road curvature and orientation from image edge points without perceptual grouping into features. Intell Veh Symp Proc. 1994;(3 13):109-114. doi:10.1109/ivs.1994.639482

3. Yuan C, Chen H, Liu J, Zhu D, Xu Y. Robust lane detection for complicated road environment based on normal map. IEEE Access. 2018;6:49679-49689. doi:10.1109/ACCESS.2018.2868976

4. Du S, Guo H, Simpson A. Self-Driving Car Steering Angle Prediction Based on Image Recognition. Cs231NStanfordEdu. 2017. http://cs231n.stanford.edu/reports/2017/pdfs/626.pdf.

5. Detec L, Luong QT. Primary Examiner Andrew W . Johns. 2004;1(12).

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