通过YOLOv8-DSAF方法改善物联网智能城市交通中的实时对象检测
Yihong Li1,2, Yanrong Huang3,4, Qi Tao5
1Zhaoqing University, Zhaoqing, 526000, Guangdong, China.
Scientific reports
|July 26, 2024
概括
本研究介绍了智能城市改进的目标检测模型,提高了城市交通中的准确性和实时性能. 新的YOLOv8-DSAF模型为智能城市环境提供了更好的适应性.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 城市信息学 城市信息学
背景情况:
- 智慧城市的发展需要城市优化先进的目标检测.
- 现有的目标检测方法在准确性,实时处理和适应性方面存在局限性.
- 复杂的城市交通场景给当前的检测技术带来了重大挑战.
研究的目的:
- 提出一个创新的目标检测模型,解决现有技术的缺陷.
- 为了提高智能城市应用中目标检测的准确性,实时性能和适应性.
- 将拟议的模型集成到物联网 (IoT) 智能城市框架中.
主要方法:
- 开发了一个YOLOv8-DSAF模型,包括深度可分离卷积 (DSConv),双路径注意门 (DPAG) 和功能增强模块 (FEM).
- DSConv优化了计算复杂性,以便在资源受限的硬件上实时检测.
- DPAG和FEM模块通过专注于关键特征并防止信息丢失,特别是在动态流量中,提高了检测准确性.
- 将模型集成到四层物联网智能城市框架 (应用程序,物联网基础设施,边缘,云) 中,用于实时数据处理.
主要成果:
- 在KITTI V和Cityscapes数据集上的实验验证表明,与标准YOLOv8模型相比,性能优越.
- 拟议的模型实现了更高的检测精度和在复杂的城市交通场景中提高了适应性.
- 通过物联网框架集成,实现了实时数据处理和更快的响应时间.
结论:
- 新的YOLOv8-DSAF模型显著提升了智能城市应用程序的目标检测能力.
- 该模型的增强精度和实时性能对于优化城市功能和生活质量至关重要.
- 这项研究为智能城市交通管理提供了强大的解决方案,并为更广泛的智能城市技术领域做出了贡献.
更多相关视频
相关概念视频
01:05Difference from Background: Limit of Detection
6.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
6.0K
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
01:18Reducing Line Loss
150
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
150
01:26Classification of Systems-I
178
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
178
01:31Classification of Systems-II
138
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
138
01:29Aggregates Classification
310
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
310