Autonomous Car using Deep Q Learning

Author(s):

Rajeev Srinivas , Sapthagiri College of Enginnering, Bangalore; Rahul Prabhu, Sapthagiri College of Enginnering, Bangalore; Prof. Madhuri C, Sapthagiri College of Engineering, Bangalore

Keywords:

Self-Driving Cars, Reinforced Learning, Deeplearning, Deep Q Network

Abstract:

This paper offers with the simulation outcomes of a self reliant vehicle learning to force in a simplified surroundings containing simplest lane markings and static boundaries. Learning is finished the usage of the Deep Q Network. For a given enter image of the road captured by means of the car the front digital camera, the Deep Q Network computes the Q values (rewards) corresponding to the movements available to the self reliant driving car. These moves are discrete angles via which the automobile can steer for a fixed pace. The self sustaining using device within the vehicle enforces the movement that has the best reward. Our simulation results show high accuracy in learning by means of looking at the lanes and bypassing limitations.

Other Details:

Manuscript Id	:	IJSTEV6I12009
Published in	:	Volume : 6, Issue : 12
Publication Date	:	01/07/2020
Page(s)	:	32-34

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