使用集成的EfficientDet和YOLOv8进行车辆检测和分类
Caixia Lv1, Usha Mittal2, Vishu Madaan2
1Smart City College of Beijing Union University, Beijing, China.
PeerJ. Computer science
|September 24, 2024
概括
结合EfficientDet和YOLOv8的集体深度学习模型改善了车辆检测和分类,特别是使用热成像. 这种先进的系统增强了智能交通管理系统.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 电气工程 电气工程
背景情况:
- 由于车辆数量不断增加和传统检测方法的局限性,交通管理面临着挑战.
- 不同的车辆特征 (形状,颜色,纹理) 使准确的识别变得复杂.
- 现有的深度学习模型可能会在各种成像条件和类不平衡的情况下扎.
研究的目的:
- 开发一个改进的车辆检测和分类系统,用于智能交通管理.
- 利用集体深度学习来提高准确性和稳定性.
- 用热和RGB图像来评估集合模型的性能.
主要方法:
- 建议使用组合方法,将EfficientDet和YOLOv8深度学习模型结合起来.
- 使用了包含热和RGB图像的前红外线 (FLIR) 数据集.
- 应用了数据增强技术来改善模型性能和解决类不平衡.
主要成果:
- 整体模型在热图像上实现了95.5%的平均平均精度 (mAP),超过了单个模型.
- 在热图像上,整体模型记录了0.93的平均回忆 (AR) 和0.08.08的最佳定位回忆精度 (oLRP).
- 对于RGB图像,整体模型实现了93.1%的mAP,0.91 AR和0.10 oLRP.
结论:
- 拟议的整体方法显著提高了车辆检测和分类准确性.
- 热成像的整合改善了在各种照明条件下的检测,确保了系统的稳定性.
- 开发的系统为现实世界智能交通管理应用提供了强大的解决方案.
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
01:26Classification of Systems-I
177
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:
177
01:31Classification of Systems-II
137
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,
137
01:29Aggregates Classification
306
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...
306
01:30Classification of Signals
418
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
418
01:20Deconvolution
139
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
139