实时快速事故检测,以优化孟加拉国道路安全
Md Shamsul Arefin1, Md Ibrahim Shikder Mahin1, Farzana Akter Mily2
1Department of Electrical & Electronic Engineering, BUBT, Dhaka, Bangladesh.
Heliyon
|March 3, 2025
概括
使用YOLOv11的先进汽车事故检测系统显著改善了实时事故识别. 这种人工智能驱动的方法增强了应急响应,旨在减少道路交通事故造成的死亡人数和社会影响.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 交通安全工程 交通安全工程
背景情况:
- 达卡的道路交通事故导致严重的死亡和经济损失.
- 现有的应急响应系统需要升级以提高效率.
研究的目的:
- 提出使用YOLOv11进行实时检测的先进汽车事故检测系统.
- 为了比较YOLOv9,YOLOv10和YOLOv11的性能,以准确检测事故.
- 加强应急响应系统,提高道路安全.
主要方法:
- 利用9000个标记图像的数据集来训练物体检测模型.
- 采用了最先进的物体检测技术,包括交叉对联 (IoU) 和非最大抑制 (NMS).
- 实施并比较了用于事故检测的YOLOv9,YOLOv10和YOLOv11模型.
主要成果:
- 在50%的IOU值下,YOLOv11实现了0.8249的回忆,1.0000的精度和0.9940的平均精度 (mAP).
- 该系统展示了低延迟,在GPU上处理19.93毫秒,使其适合实时应用.
- 对比分析显示,YOLOv11在检测和分类道路交通事故方面具有卓越的准确性.
结论:
- 该YOLOv11型号提供高效和准确的实时汽车事故检测.
- 由人工智能驱动的系统显示出改善道路安全和应急响应时间的巨大潜力.
- 这些系统的整合可以减少与事故相关的死亡事故和社会影响.
相关概念视频
01:17Design Example: Alignment of a Road Line Using GIS
28
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
28
01:29Applications of GIS: Disaster Management and Emergency Response
31
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
31