An Intelligent Modelling system for Automotive Vehicles

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Year : 2025 | Volume :15 | Issue : 01 | Page : –
    By

    Thrupthi B. N.,

  • Sushmitha M,

  • Mithun M,

  • Mahaling,

  • Kavana Salimath,

  1. Student, Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India
  2. Student, Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India
  3. Student, Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India
  4. Student, Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India
  5. Assistant Professor, Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India

Abstract

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In this paper it’s about the development of artificial intelligence that has fuelled technological advancements. Self-driving automobiles are an example of an innovative development. Nowadays, you may work or sleep in your car while driving to your destination without touching the steering wheel or accelerator. This project aims to create a workable model of a self-driving car capable of traveling on multiple tracks, including curved, straight, and straight followed by curved. The Raspberry Pi includes a camera module at the top of the vehicle. Images from the actual world are submitted to the Convolutional Neural Network using RaspberryPi. The car’s computer brain activates in response to this sensory information. After processing the data, it makes snap judgments regarding steering, braking, and speed. The automobile navigates through traffic safely by solving a complicated puzzle in real time. These vehicles are useful for seamlessly changing lanes are intended to completely transform how we drive, making it more efficient and comfortable. The machine forecasts scenarios like right, left, forward, or stop. Vehicle performance, safety, and design have all been transformed by the introduction of intelligent modelling in the automotive sector. Automotive engineering today integrates predictive analytics, adaptive systems, and autonomous functions by utilising cutting-edge technology like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). The intellectual underpinnings and uses of intelligent modelling in automobiles are examined in this research. We examine issues like computational complexity and ethical considerations while talking about its importance in improving safety, effectiveness, and environmental sustainability. The future direction of intelligent modelling in the automotive industry is highlighted in the study’s conclusion.

Keywords: Self Driving Vehicle, Autonomous Vehicle, Machine Learning, Obstacle avoidance, Sensors, Artificial intelligence, Image Processing.

[This article belongs to Journal of Instrumentation Technology & Innovations (joiti)]

How to cite this article:
Thrupthi B. N., Sushmitha M, Mithun M, Mahaling, Kavana Salimath. An Intelligent Modelling system for Automotive Vehicles. Journal of Instrumentation Technology & Innovations. 2025; 15(01):-.
How to cite this URL:
Thrupthi B. N., Sushmitha M, Mithun M, Mahaling, Kavana Salimath. An Intelligent Modelling system for Automotive Vehicles. Journal of Instrumentation Technology & Innovations. 2025; 15(01):-. Available from: https://journals.stmjournals.com/joiti/article=2025/view=0

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Regular Issue Subscription Review Article
Volume 15
Issue 01
Received 02/01/2025
Accepted 13/01/2025
Published 27/01/2025
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