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Detection System Potholes on Roads based on Recurrent Neuronal Network

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Intelligent Sustainable Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 333))

Abstract

The supervision of road quality is among the main lines of research in road  security, exploiting the various techniques of machine learning. Our goal is to propose an efficient and accurate system to provide a complete and detailed report on the state of the road and anticipate the maintenance to be done to road or decision support if the system uses real-time in the context of an autonomous car example. For this, we propose a deep learning architecture in two steps. In the first step, we start a segmentation to determine the sides of the road and limiting the area detection of potholes. The second step to detecting potholes in this area reduces the number of false positives detected by the model. It reduces the detections of potholes that are not relevant for this detection, including potholes at the side of the road or the sidewalk. For this, each model was training on images from a public database. The result of our approach showed its effectiveness by reaching accuracy 93%.

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Author information

Authors and Affiliations

  1. Department of Computer Science, FST, University of Sultan Moulay Sliman, Beni Mellal, Morocco

    Younes Ed-Doughmi & Rachid El Ayachi

Authors
  1. Younes Ed-Doughmi
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  2. Rachid El Ayachi
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Corresponding author

Correspondence to Younes Ed-Doughmi .

Editor information

Editors and Affiliations

  1. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  2. Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh Jat

  3. University of Costa Rica, Curridabat, Costa Rica

    Gabriela Marín-Raventós

  4. Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ed-Doughmi, Y., El Ayachi, R. (2022). Detection System Potholes on Roads based on Recurrent Neuronal Network. In: Nagar, A.K., Jat, D.S., Marín-Raventós, G., Mishra, D.K. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-16-6309-3_14

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