Dib, Jihad and Sirlantzis, Konstantinos and Howells, Gareth (2020) A Review on Negative Road Anomaly Detection Methods. IEEE Access, 8. pp. 57298-57316. DOI https://doi.org/10.1109/access.2020.2982220
Dib, Jihad and Sirlantzis, Konstantinos and Howells, Gareth (2020) A Review on Negative Road Anomaly Detection Methods. IEEE Access, 8. pp. 57298-57316. DOI https://doi.org/10.1109/access.2020.2982220
Dib, Jihad and Sirlantzis, Konstantinos and Howells, Gareth (2020) A Review on Negative Road Anomaly Detection Methods. IEEE Access, 8. pp. 57298-57316. DOI https://doi.org/10.1109/access.2020.2982220
Abstract
The main limitation to obstacle avoidance nowadays has been negative road anomalies which is the term we used to refer to potholes and cracks due to their negative drop from the surface of the road. This has for long been a limitation because of the fact that they exist in different, random and stochastic shapes. Today's technology lacks the presence of sensors capable of detecting negative road anomalies efficiently as the latter surpasses the sensor's limitations rendering the sensing technique inaccurate. A significant amount of research has been focused on the detection of negative road anomalies due to the fact that this topic is becoming a hot research topic. In this paper, the existing techniques will be reviewed. Their limitations will be highlighted and they will be assessed via certain performance indicators and via some chosen criteria which will be introduced.
Item Type: | Article |
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Uncontrolled Keywords: | Convolutional neural networks; computer vision; crack detection; deep learning; image processing; image classification; image texture analysis; machine learning algorithm; multi-layer neural networks; negative road anomalies detection; pothole detection; real-time; |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 23 Apr 2025 12:48 |
Last Modified: | 23 Apr 2025 12:48 |
URI: | http://repository.essex.ac.uk/id/eprint/37307 |
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Filename: A_Review_on_Negative_Road_Anomaly_Detection_Methods.pdf
Licence: Creative Commons: Attribution 4.0