The week's pick
Reseach Article
Smart Road Safety System: Detecting Potholes, Sharp Turns, Speed Bumps, and Signboards for Driver Safety
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 34 |
| Year of Publication: 2024 |
| Authors: Vikas Mourya, Sanam Shaikh, Saba Sayyed, Sanskruti Shivasharan, Nisha Costa |
10.5120/ijca2024923884
|
Vikas Mourya, Sanam Shaikh, Saba Sayyed, Sanskruti Shivasharan, Nisha Costa . Smart Road Safety System: Detecting Potholes, Sharp Turns, Speed Bumps, and Signboards for Driver Safety. International Journal of Computer Applications. 186, 34 ( Aug 2024), 12-17. DOI=10.5120/ijca2024923884
Abstract
The increasing demand for intelligent transportation systems has spurred research into computer vision applications, particularly traffic sign detection, to enhance road safety and navigation. This project presents a robust deep learning-based approach for automatic traffic sign detection along with speed bumps, sharp turns and potholes using YOLO V8. A pothole detection using deep learning typically focuses on addressing the challenges associated with identifying and mapping potholes on roads. The growing emphasis on road safety has prompted the drivers for identifying and alerting drivers to the presence of speed bumps. Traffic sign detection contributes to advanced driver assistance systems by providing real-time information to drivers. This assistance is especially valuable in situations where visibility may be compromised or when navigating unfamiliar roads. Along with it the detection of potholes, speed bumps, and sharp turns using deep learning is multifaceted, encompassing aspects of road safety, infrastructure maintenance, driver comfort, and the broader goals of creating intelligent and responsive transportation systems.
References
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