Raspberry Pi-based Self-driving Car Technologies: A Review of Hardware and Software Integration

Year : 2024 | Volume : 02 | Issue : 02 | Page : 1 6
    By

    Baliram Sambhaji Gayal,

  • Pranali Lohakare,

  • Monu Kumar,

  1. Student, Department of Electronics and Telecommunication Engineering, Rasiklal M. Dhariwal Sinhgad Technical Institutes, Warje, Pune, Maharashtra, India
  2. Student, Department of Electronics and Telecommunication Engineering, Rasiklal M. Dhariwal Sinhgad Technical Institutes, Warje, Pune, Maharashtra, India
  3. Student, Department of Electronics and Telecommunication Engineering, Rasiklal M. Dhariwal Sinhgad Technical Institutes, Warje, Pune, Maharashtra, India

Abstract

An assessment of the state, possibilities, and difficulties of self-driving car technology. Autonomous vehicles (AVs), also referred to as self-driving cars, are automobiles that can navigate and function without the need for human involvement. They make decisions, sense their environment, and traverse routes safely by combining sensors, cameras, radar, lidar, and sophisticated algorithms. The advancement of autonomous vehicles holds the capacity to completely transform the transportation sector by enhancing security, effectiveness, and ease of use. But there are several obstacles that must be overcome, including legal frameworks, cybersecurity worries, moral issues, and public acceptance. The technological developments in self-driving automobiles, including real-time data processing, artificial intelligence, and machine learning, are examined in this abstract. It also discusses the impact of self-driving cars on various industries, including transportation, logistics, and urban planning. Furthermore, it examines the potential benefits of self-driving cars, such as reduced accidents, congestion, and environmental impact, along with potential drawbacks like job displacement and privacy issues. Overall, self-driving car technology represents a significant innovation with the potential to reshape the future of mobility, but it requires comprehensive solutions to address technical, regulatory, and societal challenges.

Keywords: Image processing, raspberry pi, machine learning, neural networks, Object detection

[This article belongs to International Journal of Electronics Automation ]

How to cite this article:
Baliram Sambhaji Gayal, Pranali Lohakare, Monu Kumar. Raspberry Pi-based Self-driving Car Technologies: A Review of Hardware and Software Integration. International Journal of Electronics Automation. 2024; 02(02):1-6.
How to cite this URL:
Baliram Sambhaji Gayal, Pranali Lohakare, Monu Kumar. Raspberry Pi-based Self-driving Car Technologies: A Review of Hardware and Software Integration. International Journal of Electronics Automation. 2024; 02(02):1-6. Available from: https://journals.stmjournals.com/ijea/article=2024/view=184807


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Regular Issue Subscription Original Research
Volume 02
Issue 02
Received 26/09/2024
Accepted 21/10/2024
Published 07/11/2024
238

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