ISSN: 2979-9236|DOI: 10.58190/imiens|Open Access|Peer-Reviewed
Intelligent Methods In Engineering Sciences
Research Articleslock_openOpen AccessPeer-Reviewed Article

Autonomous Car for Indian Terrain

S. T. Patil
Aryan Aher
Aarushi Bhate
Adnan Shaikh
Sandhya Vinukonda
Publication Date
November 3, 2022
Volume / Issue
Vol. 1, Issue 1 (pp. 13-17)
Autonomous Car for Indian Terrain
imageArticle Graphic / Cover

Autonomous Car for Indian Terrain

Official publication asset for Intelligent Methods In Engineering Sciences

subjectAbstract

In recent years, autonomous vehicle (AV) technology has improved dramatically. Self-driving cars have the potential to transform urban mobility in India by offering sustainable, convenient, and congestion-free transportation. However, India confronts challenges such as potholes and the need for enhanced lane detection to make autonomous vehicles a reality. The project's central goal is to create a Convolution Neural Network (CNN) model that can scan and identify its surroundings and move. This paper proposes a project which is accomplished by training CNN with a dataset of images and videos to perform advanced lane identification, pothole recognition, and sophisticated object detection.

Keywords:Autonomous Vehicle (AV)Convolutional neural networkDeep learningNeural Network

Author Information & Affiliations

format_list_numberedReferences (12)

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How to Cite this Article

S. T. P., Aher, A., A. B., A. S., S. V. (2022). Autonomous Car for Indian Terrain. Intelligent Methods In Engineering Sciences, 13-17. https://doi.org/10.58190/imiens.2022.3