Scene Understanding for Advance Driver Assistance and Its Simulation

Akshat Agrawal; Angad Singh Minhas; Vipin Sharma

Abstract

Propelled driver-help frameworks (ADAS), are electronic frameworks that guide a vehicle driver while driving.[1] When planned with a protected human-machine interface, they are proposed to build vehicle security and all the more for the most part street wellbeing. Scene understanding in an ADAS system is a process of perceiving the surroundings of a vehicle to provide directions and make decisions in real time on various aspects of the vehicle. This paper aims to provide scene understanding for ADAS system using deep learning based end-to-end model. The sensor used in our approach is the front view image sensor which provides information on the surroundings of the vehicle to the system [2]

Keywords

Sensors, Deep Learning, image processing, supervised learning, Neural Networks

References

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[3] Mobileye “Your Fleet Needs an Advanced Driver Assistance System” 2017

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Cites this article as

A. Agrawal, A. S. Minhas, V. Sharma, "Scene Understanding for Advance Driver Assistance and Its Simulation", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-5, Issue-6, Page No-246-247, 2018. Available from: