A Mobile Application for Potholes Detection and Analysis System
| dc.contributor.advisor | Prof. M. O. Abass | |
| dc.contributor.author | KUDETI, Waziri Omolade | |
| dc.date.accessioned | 2026-08-28T10:14:46Z | |
| dc.date.available | 2026-08-28T10:14:46Z | |
| dc.date.issued | 2020-03-08 | |
| dc.description | xii,78pages.illustration.;hardback | |
| dc.description.abstract | The presence of potholes on roads has over the years been a great source of concern to everyone.it has been identified as one of the major causes of road accidents as well as the wear and tear of vehicle tyres. The mobile sensing method for pothole detection is considered as the most suitable method to detect pothole for mobile devices. This is because the other methods require huge computation power for image recognition. Three different algorithms were implemented: the Z-Diff algorithm, STDEV(z)algorithm which are existing algorithms and a new improved algorithm. The data used for the experiments were obtained by driving through a selected test track which is 18.9km (11.7miles) long .it includes major single lane streets as well as minor multi-lane from Sango Ota, Ogun state to Agege, Lagos state, and is characterized by a range of degrees in road surface smoothness. This research shows that the proposed improved algorithm outperforms both the Z-DIFF algorithm and STDEV(Z) metrics. The performance metrics gives different results because each metric covers a part and considers some parameters while leaving some others. Therefore, a combination of metrics is recommended to be used to measure the performance of each algorithm against others. | |
| dc.identifier.uri | https://ir.bellsuniversity.edu.ng/handle/123456789/555 | |
| dc.publisher | Bells University of Technology | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Road Accident | |
| dc.subject | Data | |
| dc.title | A Mobile Application for Potholes Detection and Analysis System |
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