Paper Contents
Abstract
The self-driving car is an emerging technology in the automotive industry that can navigate and move through traffic and obstacles without or with minimal human intervention. It has gained traction in foreign markets as both private and public vehicles, including taxis, and various companies such as Waymo, Uber, Nissan, and Nvidia are actively involved in developing these autonomous vehicles. The introduction of self-driving cars has significantly improved safety, security, and efficiency in automotive transportation while reducing human errors during driving. This project focuses on creating a prototype of a monocular vision autonomous car using the Raspberry Pi as the processing chip. The car's objective is to safely and intelligentlyreach a given destination by responding to real-time traffic conditions and obstacles. It incorporates several existing algorithms, including lane detection, obstacle detection, and traffic light recognition, to provide the necessary control for the car's movements. This innovation holds tremendous potential as it reduces the cognitive load and mental strain required while driving, ultimately minimizing the likelihood of accidents caused by careless or disobedient driving behaviors. By leveraging advanced technologies and algorithms, the autonomous car aims to eradicate human errors and enhance overall road safety. This advancement in the field of self-driving cars promises to revolutionize the way we commute and travel, offering a safer and more efficient transportation experience for individuals and communities.
Copyright
Copyright © 2023 Srinath M S. This is an open access article distributed under the Creative Commons Attribution License.
