Enhancing Road Safety: A Robotic System for Automatic Pothole Identification and Filling

Year : 2024 | Volume : 14 | Issue : 03 | Page : 1 6
    By

    Sika Visakhan,

  • Madhu M.,

  • Nanda Kumar P.,

  • Viswa Sai V.,

  1. Assistant Professor, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology (Affiliated to Anna University, Chennai), Coimbatore, Tamil Nadu, India
  2. Student, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology (Affiliated to Anna University, Chennai), Coimbatore, Tamil Nadu, India
  3. Student, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology (Affiliated to Anna University, Chennai), Coimbatore, Tamil Nadu, India
  4. Student, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology (Affiliated to Anna University, Chennai), Coimbatore, Tamil Nadu, India

Abstract

Innovative technologies called automatic pothole detection systems are made to automatically locate and identify potholes on road surfaces. These systems incorporate many components, including sensors such as cameras, LiDAR, and accelerometers, to acquire data on the road conditions. Potholes on roads provide serious risks to passing cars and pedestrians, which can result in collisions, damage to cars, and deterioration of the infrastructure. Automatic pothole detection systems, which make use of cutting-edge technology like computer vision and machine learning, have emerged as a viable solution to this problem. This study offers a thorough analysis of automatic pothole detecting systems, including the underlying technology, approaches, and difficulties. The first section discusses the significance of pothole detection systems in ensuring road safety and maintaining infrastructure integrity. It highlights the detrimental effects of potholes on transportation networks and the economy, under scoring the urgency for effective detection and mitigation strategies. The second section delves into the technical aspects of automatic pothole detection, focusing on the various sensor modalities and data acquisition techniques employed in the detection process. It examines the role of cameras, LiDAR, accelerometers, and other sensors in capturing relevant road surface information. The third section explores the algorithmic approaches utilized for pothole detection, including traditional image processing techniques and modern machine learning.

Keywords: Pothole detection, road surface monitoring, image processing, LiDAR, accelerometer, autonomous vehicles, deep learning

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

How to cite this article:
Sika Visakhan, Madhu M., Nanda Kumar P., Viswa Sai V.. Enhancing Road Safety: A Robotic System for Automatic Pothole Identification and Filling. Journal of Instrumentation Technology & Innovations. 2024; 14(03):1-6.
How to cite this URL:
Sika Visakhan, Madhu M., Nanda Kumar P., Viswa Sai V.. Enhancing Road Safety: A Robotic System for Automatic Pothole Identification and Filling. Journal of Instrumentation Technology & Innovations. 2024; 14(03):1-6. Available from: https://journals.stmjournals.com/joiti/article=2024/view=191879


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Regular Issue Subscription Review Article
Volume 14
Issue 03
Received 02/09/2024
Accepted 07/09/2024
Published 20/09/2024
307

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