Real-Time Pedestrian and Non-Motor Vehicle Detection with Enhanced YOLOv5 Algorithm
Keywords:
Object detection, YOLOv5, Real-time recognition, Intelligent transportationAbstract
This paper presents an improved YOLOv5 model for the real-time detection of pedestrians and non-motorized vehicles, addressing critical challenges in complex traffic scenarios such as small-object missed detection and occluded-object false alarms. The proposed enhancements focus on three core components: firstly, an attention mechanism is incorporated to augment the backbone network's feature extraction capabilities; secondly, the neck's feature fusion architecture is optimized for more effective multi-scale aggregation; and lastly, the loss function is improved to accelerate convergence and enhance localization accuracy. Experiments conducted on a self-collected dataset and public benchmarks demonstrate that our model achieves a higher mean Average Precision (mAP) while retaining a high inference speed (FPS), thereby providing a reliable and efficient visual perception solution for intelligent transportation and autonomous driving systems.
References
Zhang, Shiwen, et al. "Optimizing the Operation Mechanism of Public Data Assets and Data-Driven Decision Models in the Digital Economy With Deep Neural Networks." Journal of Organizational and End User Computing (JOEUC) 37.1 (2025): 1-22.
Wei, Xiangang, et al. "AI driven intelligent health management systems in telemedicine: An applied research study." Journal of Computer Science and Frontier Technologies 1.2 (2025): 78-86.
Zheng, Y., Zhou, G., & Lu, B. (2023). Rebar Cross-section Detection Based on Improved YOLOv5s Algorithm. Innovation & Technology Advances, 1(1), 1–6. https://doi.org/10.61187/ita.v1i1.1
Zhao, X., Zhang, L., & Hu, Z. (2023). Smart warehouse track identification based on Res2Net-YOLACT+HSV. Innovation & Technology Advances, 1(1), 7–11. https://doi.org/10.61187/ita.v1i1.2
Xu, Zhongjin. "Machine Learning-Enhanced Fingertip Tactile Sensing: From Contact Estimation to Reconstruction." Journal of Intelligence Technology and Innovation (JITI) 3.2 (2025): 20-39.
Wu, Xiaomin, et al. "Jump-GRS: a multi-phase approach to structured pruning of neural networks for neural decoding." Journal of neural engineering 20.4 (2023): 046020.
Miao, Junfeng, et al. "Secure and efficient authentication protocol for supply chain systems in artificial intelligence-based Internet of Things." IEEE Internet of Things Journal (2025).
Guo, Y., & Tao, D. (2025). Modeling and Simulation Analysis of Robot Environmental Interaction. Artificial Intelligence Technology Research, 2(8).
Zhou, Z. (2025). Research on Software Performance Monitoring and Optimization Strategies in Microservices Architecture. Artificial Intelligence Technology Research, 2(9).
Zhang, T. (2025). Research and Application of Blockchain-Based Medical Data Security Sharing Technology. Artificial Intelligence Technology Research, 2(9).
Yu, Z. (2025). Advanced Applications of Python in Market Trend Analysis Research. MODERN ECONOMICS, 6(1), 115.
Liu, Huanyu. "Research on Digital Marketing Strategy Optimization Based on 4P Theory and Its Empirical Analysis."
Ren, Fei, Chao Ren, and Tianyi Lyu. "Iot-based 3d pose estimation and motion optimization for athletes: Application of c3d and openpose." Alexandria Engineering Journal 115 (2025): 210-221.
Zhou, Y., Wang, Z., Zheng, S., Zhou, L., Dai, L., Luo, H., ... & Sui, M. (2024). Optimization of automated garbage recognition model based on resnet-50 and weakly supervised cnn for sustainable urban development. Alexandria Engineering Journal, 108, 415-427.
Jin, Can, et al. "Rankflow: A multi-role collaborative reranking workflow utilizing large language models." Companion Proceedings of the ACM on Web Conference 2025. 2025.
Xie, Xi, et al. "RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs." The Thirteenth International Conference on Learning Representations. 2024.
Yang, C. (2024). A Study of Computer-Assisted Communicative Competence Training Methods in Cross-Cultural English Teaching. Applied Mathematics and Nonlinear Sciences, 9(1). Scopus. https://doi.org/10.2478/amns-2024-2895
Chen, Yilong, et al. "Dha: Learning decoupled-head attention from transformer checkpoints via adaptive heads fusion." Advances in Neural Information Processing Systems 37 (2024): 45879-45913.
Q. Tian, D. Zou, Y. Han and X. Li, "A Business Intelligence Innovative Approach to Ad Recall: Cross-Attention Multi-Task Learning for Digital Advertising," 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT), Shenzhen, China, 2025, pp. 1249-1253, doi: 10.1109/AINIT65432.2025.11035473.
Tang, H., Yu, Z., & Liu, H. (2025). Supply Chain Coordination with Dynamic Pricing Advertising and Consumer Welfare An Economic Application. Journal of Industrial Engineering and Applied Science, 3(5), 1–6.
Zhang, Yupeng, and Alan Needleman. "Influence of assumed strain hardening relation on plastic stress-strain response identification from conical indentation." Journal of Engineering Materials and Technology 142.3 (2020): 031002.
Li, Huaxu, et al. "Enhancing Intelligent Recruitment With Generative Pretrained Transformer and Hierarchical Graph Neural Networks: Optimizing Resume-Job Matching With Deep Learning and Graph-Based Modeling." Journal of Organizational and End User Computing (JOEUC) 37.1 (2025): 1-24.
Su, Tian, et al. "Anomaly Detection and Risk Early Warning System for Financial Time Series Based on the WaveLST-Trans Model." (2025).
Zhang, Yujun, et al. "MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic." arXiv preprint arXiv:2507.00304 (2025).
Zhang, Zongzhen, Qianwei Li, and Runlong Li. "Leveraging Deep Learning for Carbon Market Price Forecasting and Risk Evaluation in Green Finance Under Climate Change." Journal of Organizational and End User Computing (JOEUC) 37.1 (2025): 1-27.
Peng, Qucheng, et al. "RAIN: regularization on input and network for black-box domain adaptation." Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. 2023.
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