PENGENALAN RAMBU LALU LINTAS MENGGUNAKAN METODE YOLOV8
Abstract
Full Text:
PDFReferences
Arief R. (2021). Tesis Sistem Deteksi Dan Pengenalan Rambu Lalu Lintas Di Indonesia Menggunakan Algoritma Yolov4. Universutas Hasanudin, Makassar.
Fahim, S. H., Abdal, A., Rasel, S., Sarker, A. R., and Chowdhury, T. (2024). Bangladeshi Vehicle Identification via YOLO v8-Based License Plate Detection. Cambridge Open Engage. https://doi.org/10.33774/coe-2024-5k5w6
Gong, C., Li, A., Song, Y., Xu, N., and He, W. (2022). Traffic Sign Recognition Based on the YOLOv3 Algorithm. Sensors, 22(23). https://doi.org/10.3390/s22239345
Gregorius, N., Goenawan, A. N., and Tjondrowiguno, L. (2022). Pengenalan Rambu Lalu Lintas di Indonesia Secara Real-time Menggunakan YOLOv4-tiny. Jurnal Infra, 10.
Janapriya, A. (2023). Pengenalan Jenis Rambu Lalu Lintas menggunakan Metode YOLO V5. Jurnal Elektronik Ilmu Komputer Udayana , 11(4), 2654–5101. https://doi.org/10.24843/JLK.2023.v11.i04.p32
Liu, Y., Shi, G., Li, Y., and Zhao, Z. (2022). M-YOLO: Traffic Sign Detection Algorithm Applicable to Complex Scenarios. Symmetry, 14(5). https://doi.org/10.3390/sym14050952
Munawar, M. (2023, January 10). Train YOLOv8 on Custom Data? Retrieved January 7, 2024, from https://medium.com/
Nugroho, A., and Cahyono, M. R. A. (2022). Implementasi Object Recognition Pada Rambu-Rambu Dan Lampu Lalu Lintas Dengan Raspberry Pi Dengan Algoritma Yolov5. Sebatik, 26(2), 549–556. https://doi.org/10.46984/sebatik.v26i2.2047
Oklilas, A. F., Sukemi, S., and Apriliyanto, R. (2023). Model Yolo Versi 4 Pada Pengenalan Kendaraan Di Jalan Raya Kota Palembang. Transmisi: Jurnal Ilmiah Teknik Elektro, 25(3), 136–139. https://doi.org/10.14710/transmisi.25.3.136-139
Raza M. (2023, October 16). Yolo V8: A Deep Dive Into Its Advanced Functions and New Features. Retrieved January 7, 2024, from https://medium.com/
Redmon, J., Divvala, S., Girshick, R., and Farhadi, A. (2016). You Only Look Once: Unified, Real-Time Object Detection. Retrieved from http://pjreddie.com/yolo/
Shahab, M. (2023, October 8). YOLO v8. Retrieved January 7, 2024, from https://medium.com/
Shen, L., Lang, B., and Song, Z. (2023). DS-YOLOv8-Based Object Detection Method for Remote Sensing Images. IEEE Access, 11, 125122–125137.
Takarob R. (2022). Deteksi Dan Identifikasi Rambu-Rambu Lalu Lintas Berbasis Algoritma You Only Look Once (Yolo). Jakarta.
Xuan-Ha Nguyen, T.-T. N. D.-A. N. (2022). Development of Real-Time Traffic-Object and Traffic-Sign Detection Models Applied for Autonomous Intelligent Vehicles. JST: Smart Systems and Devices, 32(1), 17–24. https://doi.org/10.51316/jst.155.ssad.2022.32.1.3
Zhang, R., Zheng, K., Shi, P., Mei, Y., Li, H., and Qiu, T. (2023). Traffic Sign Detection Based on the Improved YOLOv5. Applied Sciences (Switzerland), 13(17). https://doi.org/10.3390/app13179748
DOI: http://dx.doi.org/10.31000/jika.v8i2.10609
Article Metrics
Abstract - 41 PDF - 61Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
CURRENT INDEXING