Zhang, Mengchen; Zhang, Zhenyou (2025) Research on Vehicle Target Detection Method Based on Improved YOLOv8. Applied Sciences, 15 (10). doi:10.3390/app15105546
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Research on Vehicle Target Detection Method Based on Improved YOLOv8 | ||
| Journal | Applied Sciences | ||
| Authors | Zhang, Mengchen | Author | |
| Zhang, Zhenyou | Author | ||
| Year | 2025 (May 15) | Volume | 15 |
| Issue | 10 | ||
| Publisher | MDPI AG | ||
| DOI | doi:10.3390/app15105546Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 18444406 | Long-form Identifier | mindat:1:5:18444406:9 |
| GUID | 0 | ||
| Full Reference | Zhang, Mengchen; Zhang, Zhenyou (2025) Research on Vehicle Target Detection Method Based on Improved YOLOv8. Applied Sciences, 15 (10). doi:10.3390/app15105546 | ||
| Plain Text | Zhang, Mengchen; Zhang, Zhenyou (2025) Research on Vehicle Target Detection Method Based on Improved YOLOv8. Applied Sciences, 15 (10). doi:10.3390/app15105546 | ||
| In | (2025, May) Applied Sciences Vol. 15 (10). MDPI AG | ||
References Listed
These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.
 | |
| Not Yet Imported: - proceedings-article : 10.1109/ICMTMA.2015.146 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Chen (2025) Ocean. Eng. Intelligent ship route planning via an A search model enhanced double-deep Q-network 327, 120956 | |
| Not Yet Imported: IEEE Transactions on Pattern Analysis and Machine Intelligence - journal-article : 10.1109/TPAMI.2005.102 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Zhang, H., and Zhang, H. (2013, January 26β28). A moving target detection algorithm based on dynamic scenes. Proceedings of the 2013 8th International Conference on Computer Science & Education, Colombo, Sri Lanka. | |
| Deng, G., and Guo, K. (2014, January 8β9). Self-adaptive background modeling research based on change detection and area training. Proceedings of the 2014 IEEE Workshop on Electronics, Computer and Applications, Ottawa, ON, USA. | |
| Not Yet Imported: IEEE Transactions on Image Processing - journal-article : 10.1109/TIP.2010.2101613 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - proceedings-article : 10.1109/CISP.2010.5648259 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Fang, Y., and Dai, B. (2009, January 25β28). An improved moving target detecting and tracking based on optical flow technique and kalman filter. Proceedings of the 2009 4th International Conference on Computer Science & Education, Nanning, China. | |
| Not Yet Imported: Sensors - journal-article : 10.3390/s23115206 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Viola, P., and Jones, M. (2001, January 8β14). Rapid object detection using a boosted cascade of simple features. Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Kauai, HI, USA. | |
| Xu (2019) J. Comput. Appl. Math. Multi-class vehicle detection in surveillance video based on deep learning 39, 700 | |
| Not Yet Imported: - proceedings-article : 10.1109/ICNC.2013.6818189 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| |
| Kaijun (2013) J. Converg. Inf. Technol. A least squares support vector machine classifier for information retrieval 8, 177 | |
| Not Yet Imported: - proceedings-article : 10.1109/CVPR.2008.4587597 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Li, G., Zeng, R., and Lin, L. (2006, January 21β23). Moving target detection in video monitoring system. Proceedings of the 2006 6th World Congress on Intelligent Control and Automation, Dalian, China. | |
| Wu (2021) Transducer Microsyst. Technol. Review of target detection algorithms based on deep learning 40, 4 | |
| Xie (2013) Comput. Eng. Appl. Small target detection method based on visual attention 49, 125 | |
| Not Yet Imported: - journal-article : 10.1109/TNNLS.2021.3084827 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| |
| Not Yet Imported: - journal-article : 10.3390/su141912274 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Chen, D., Huang, C., Fan, T., Lau, H., and Yan, X. (2025). Predictive Modeling for Vessel Traffic Flow: A Comprehensive Survey from Statistics to AI. Transp. Saf. Environ., tdaf022. | |
| Not Yet Imported: - proceedings-article : 10.1109/CVPR.2014.81 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - book-chapter : 10.1007/978-981-13-9042-5_56 If you would like this item imported into the Digital Library, please contact us quoting Book ID 9789811390418 | |
| Not Yet Imported: - journal-article : 10.1109/TPAMI.2016.2577031 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - book-chapter : 10.1007/978-3-319-46448-0_2 If you would like this item imported into the Digital Library, please contact us quoting Book ID 9783319464473 | |
| Not Yet Imported: - proceedings-article : 10.1109/CVPR.2016.91 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Qin, D., Leichner, C., Delakis, M., Fornoni, M., Luo, S., Yang, F., Wang, W., Banbury, C., Ye, C., and Akin, B. (October, January 29). MobileNetV4: Universal models for the mobile ecosystem. Proceedings of the European Conference on Computer Vision, Milan, Italy. | |
| Not Yet Imported: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - proceedings-article : 10.1109/CVPR42600.2020.01079 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Zhao, Y., Lv, W., and Xu, S. (2024, January 16β22). DETRs beat YOLOs on real-time object detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA. | |
| Varghese, R., and Sambath, M. (2024, January 18β19). Yolov8: A novel object detection algorithm with enhanced performance and robustness. Proceedings of the 2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS), Chennai, India. | |
| |
| |
| Not Yet Imported: - proceedings-article : 10.1109/CVPR.2012.6248074 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - proceedings-article : 10.1109/CVPR52729.2023.00721 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Wang, C., Yeh, I., and Liao, H. (October, January 29). Yolov9: Learning what you want to learn using programmable gradient information. Proceedings of the European Conference on Computer Vision, Milan, Italy. | |
| Wang (2024) Adv. Neural Inf. Process. Syst. Yolov10: Real-time end-to-end object detection 37, 107984 | |
| Not Yet Imported: - journal-article : 10.1016/j.cviu.2020.102907 If you would like this item imported into the Digital Library, please contact us quoting Journal ID |
See Also
These are possibly similar items as determined by title/reference text matching only.
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|