Paper Title
Artificial Intelligence Based Self Driving Car Using Raspberry AI
Article Identifiers
: Authors
Keywords
automation, self driving, artificial intelligence, GPS, machine learning
Abstract
A self-driving car is a car which is capable of sensing the environment and moves safely without human inputs. A need for automated vehicles is increasing every day due to rapid growth in road traffic and increased number of accidents. In developed as well developing countries the traffic is the biggest problem everyone is facing now. This traffic not only waste our time but also it also increase the chance for accidents. About 0.5 million people dies in road accident every year in India and so many more peoples were injured. About 94 % of accidents occurred is due the human errors such as carelessness, negligence and mental condition of the driver. The main goal of this project is to replace the error prone human with error free machines controlled by artificial intelligence. These self-driving are capable making its own decision in highly complex scenarios. Artificial intelligence is the back bone of this system. These machines not only senses the obstacles but also it can learn the environment, and can derive the path without GPS. These machines doesn’t use GPS or Google maps to derive its route but it will study the environment and remember the places and route as we human do. To achieve this we use machine learning Techniques where machine can learn, improvise and exhibit its actions in a sensible way. If more number of driverless cars were employed it can reduce the traffic and provide smooth flow of traffic.
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How To Cite (APA)
nivetha n (July-2023). Artificial Intelligence Based Self Driving Car Using Raspberry AI. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(7), d841-d858. https://ijnrd.org/papers/IJNRD2307398.pdf
Issue
Volume 8 Issue 7, July-2023
Pages : d841-d858
Other Publication Details
Paper Reg. ID: IJNRD_202455
Published Paper Id: IJNRD2307398
Downloads: 000122000
Research Area: Engineering
Author Type: Indian Author
Country: kovilpatti, tamilnadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2307398.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307398
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