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Self Driving Car Using Deep Neural Networks

harmila S1 , hivaswaroop S2 , Sudhakar M3 , Tejashwini S V4 , Rajshekhar S A5

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-15 , Page no. 171-176, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si15.171176

Online published on May 16, 2019

Copyright © Sharmila S, Shivaswaroop S, Sudhakar M, Tejashwini S V, Rajshekhar S A . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sharmila S, Shivaswaroop S, Sudhakar M, Tejashwini S V, Rajshekhar S A, “Self Driving Car Using Deep Neural Networks,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.171-176, 2019.

MLA Style Citation: Sharmila S, Shivaswaroop S, Sudhakar M, Tejashwini S V, Rajshekhar S A "Self Driving Car Using Deep Neural Networks." International Journal of Computer Sciences and Engineering 07.15 (2019): 171-176.

APA Style Citation: Sharmila S, Shivaswaroop S, Sudhakar M, Tejashwini S V, Rajshekhar S A, (2019). Self Driving Car Using Deep Neural Networks. International Journal of Computer Sciences and Engineering, 07(15), 171-176.

BibTex Style Citation:
@article{S_2019,
author = {Sharmila S, Shivaswaroop S, Sudhakar M, Tejashwini S V, Rajshekhar S A},
title = {Self Driving Car Using Deep Neural Networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {15},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {171-176},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1221},
doi = {https://doi.org/10.26438/ijcse/v7i15.171176}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i15.171176}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1221
TI - Self Driving Car Using Deep Neural Networks
T2 - International Journal of Computer Sciences and Engineering
AU - Sharmila S, Shivaswaroop S, Sudhakar M, Tejashwini S V, Rajshekhar S A
PY - 2019
DA - 2019/05/16
PB - IJCSE, Indore, INDIA
SP - 171-176
IS - 15
VL - 07
SN - 2347-2693
ER -

           

Abstract

Automation has a wide role in the current generation which can be deployed into cars making them drive on their own by considering the surrounding environment as input parameters. Detection of lanes using canny edge lane detection algorithm helps to detect lanes and ensure the drivable space and have clear information of lane in which the car is moving. Deep Neural Networks helps in deciding the action to be performed by the car (forward, reverse, right, left, stop, and park). This paper covers motion control, path detection and obstacle detection. The results have been achieved by the implementation of Canny Edge Detection Algorithm, Deep Neural Networks Techniques.

Key-Words / Index Term

Deep Neural Network, Canny Edge Detection Algorithm, Obstacle Detection

References

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