动态静态双分支深度神经网络,用于使用街景图像数据识别城市超速热点
Wentong Guo1, Sheng Jin2, Yiding Li3
1Polytechnic Institute & Institute of Intelligent Transportation Systems, Zhejiang University, Hangzhou 310058, China; Zhejiang Provincial Engineering Research Center for Intelligent Transportation, Hangzhou 310058, China.
Accident; analysis and prevention
|May 22, 2024
概括
确定城市超速热点对于交通安全至关重要. 一个新的双分支上下文动态-静态特征融合网络通过分析静态和动态视觉数据准确地识别这些区域,达到99.4%的准确性.
科学领域:
- 计算机视觉 计算机视觉
- 交通安全工程 交通安全工程
- 城市规划 城市规划
背景情况:
- 司机的感知和判断受到道路环境视觉的影响,导致超速行驶.
- 识别城市超速热点可以显著提高交通安全,防止事故.
研究的目的:
- 开发一种准确的方法来识别城市超速热点.
- 利用静态和动态视觉信息来改进热点检测.
主要方法:
- 提出了一个双分支的上下文动态-静态特征融合网络 (DCDSFF-Net).
- 静态分支:全球特征的多尺度上下文特征聚合网络.
- 动态分支:多视图动态特征融合网络用于场景序列分析.
- 融合结构以关联和整合静态和动态特征.
主要成果:
- 对于超速热点,DCDSFF-Net实现了99.4%的整体识别准确度.
- 废除研究证实,融合动态和静态特征的表现优于单个分支.
- 与现有的深度学习模型相比,该模型表现出了优异的性能.
- 层CAM和GradCAM-Plus分别从静态和动态场景中有效地提取了超速频率特征.
结论:
- 拟议的DCDSFF-Net通过整合多模式视觉数据,有效地识别城市超速热点.
- 静态和动态特征的融合对于准确的超速热点识别至关重要.
- 与超速频率相关的视觉特征集中在特定的环境元素,如建筑物,绿地和过渡区.
相关概念视频
01:22Force Classification
1.2K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.2K
01:25Selected Data About Geographic Locations
27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27