Simulation of Autonomous Car using Deep Learning
Author(s):
Rishabh Kumar, Raju Patel, Raghvendra Kumar, Shivam Rathour, Nidhi Gupta
Keywords:
Autonomous car, CNN, Multilayer
Abstract
In this world of rapid advancement of computer technologies, like CNN, open-cv etc., Deep learning has grown tremendously in the field of artificial intelligence and can be used to automate almost anything, that includes modern technologies. These technologies can be applied to the car so that it requires minimum interaction with driver to run on the road or we can say that to program a car in such way that it drives in self-governing mode. With help of existing simulator, we can use it to generate the enormous amount of data that includes images and csv containing car details. We train the network with generated images (left, right, center) to predict the required steer angle to keep the car on track. This approach decreases down the resolution of images to train the network very rapidly. Before sending the data to network it is preprocessed which is very much beneficial. After the preprocessing data is send to convolutional neural network in form of fixed size batches formed by random collection of images with their corresponding steering angle with in the dataset generated to train and predict the steering angle as a final result. The Model achieved better performance when it is provided even more dataset. Here, we observe many Convolutional neural network architectures to obtain better performance with lesser load.
Article Details
Unique Paper ID: 151837

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 958 - 963
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Latest Publication

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers