| Autor: |
Lincy A., Dhanarajan G., Sanjay Kumar S., Gobinath B. |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
ITM Web of Conferences, Vol 53, p 01008 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2271-2097 |
| DOI: |
10.1051/itmconf/20235301008 |
| Popis: |
A pothole is an open crack developed on roads owing to varied climatic situations and exposure to heavy-load trucks. Potholes are acting as one of the major causes of accidents and economic loss in the repair of vehicles. Hence this paper proposes a pothole detection system that assists drivers in avoiding potholes on the road by providing prior warnings using the YOLOV7 machine learning technique. The warning can be like a buzzer while the vehicle approaches a pothole. This concept can be expanded to create vehicles that detect humps and other road irregularities. The application depicted in this work effectively reduces the problem of increasing accidents caused by potholes by ensuring accuracy in real-time of about 94.5% at efficient complexity than state-of-art approaches. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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