Abstract
Autonomous self driving vehicles are getting greater attention and this would be the future requirement in Automotive domain. However, Fail proof driving is the only solution to reduce the rate of accidents and that makes the driverless vehicles as a possible one. In man handled vehicles, by using Advance Driver Authorization System (ADAS), accident free driving can be ensured. This paper focuses on one of the ways to contribute towards accident free driving of autonomous vehicles by deploying a novel Lane Keep Assist (LKA) system. A Machine Learning algorithm has been used in proposed LKA system for tracking the lane of the autonomous vehicles by providing the required inputs. Proposed LKA system has been demonstrated in Matlab/Simulink platform and the results have been presented in this paper.
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Karthikeyan, M., Sathiamoorthy, S., Vasudevan, M. (2020). Lane Keep Assist System for an Autonomous Vehicle Using Support Vector Machine Learning Algorithm. In: Raj, J., Bashar, A., Ramson, S. (eds) Innovative Data Communication Technologies and Application. ICIDCA 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-030-38040-3_11
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DOI: https://doi.org/10.1007/978-3-030-38040-3_11
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