Current - Issue
Original Article
Deterministic Real-Time Lane Detection Via Roi- Gated Edge Refinement
Namana P Chowdri1
Dr. Manoj Kumar S B2
Ganesh M R3
Ruba Umam4
Dr. Naveen K B5
Dr. Prabhavathi K6
1 2 3 4 5 6 Department of Electronics and Communication Engineering, BGS Institute of Technology, Adichunchanagiri University, Karnataka, India.
Published Online: May-June 2026
Pages: 217-222
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260703021
References
1. H. S. G. Yaamini and R. Kumar, “Lane and Traffic Sign Detection for Autonomous Vehicles,” Procedia Computer Science, vol. 245,
pp. 112–119, 2025.
2. N. M. Alahdal and M. Alshahrani, “Real-Time Object Detection in Autonomous Vehicles with YOLO-Based Deep Learning Models,”
Procedia Computer Science, vol. 240, pp. 455–463, 2024.
3. M. Zaidi, H. Daud, and M. Shafique, “Lane Detection in Autonomous Driving: A Comprehensive Survey of Methods and
Performance,” in 2024 IEEE Karachi Section Humanitarian Technology Conference (KHI-HTC), 2024.
4. R. Ahmed et al., “A Novel Hybrid Deep Learning Algorithm for Object and Lane Detection in Autonomous Driving,” Journal of
Artificial Intelligence and Technology, vol. 5, no. 2, pp. 88–97, 2025.
5. C. Shinde, R. Sharma, and P. Chinmay, “Lane and Object Detection using YOLO: Indian Roads Scenario,” Journal of Image Processing
and Intelligent Remote Sensing, vol. 4, no. 3, pp. 45–53, 2024.
6. L. Liang et al., “Vehicle Detection Algorithms for Autonomous Driving,” Sensors, vol. 24, no. 10, pp. 3088–3102, 2024.
7. F. Ma, W. Qi, and G. Zhao, “Monocular 3D Lane Detection for Autonomous Driving: Recent Achievements, Challenges, and
Outlooks,” arXiv preprint arXiv: 2404.06860, 2024.
8. X. He et al., “Monocular Lane Detection Based on Deep Learning: A Survey,” arXiv preprint arXiv: 2411.16316, 2024.
9. M. A. Rabbani Alif, “YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transp ortation
Systems,” arXiv preprint arXiv: 2410.22898, 2024.
10. S. K. Verma and P. Singh, “Real-Time Lane and Object Detection using Deep Learning for Autonomous Vehicles,” International
Journal of Intelligent Transportation Systems Research, vol. 13, no. 2, pp. 95–104, 2025.
pp. 112–119, 2025.
2. N. M. Alahdal and M. Alshahrani, “Real-Time Object Detection in Autonomous Vehicles with YOLO-Based Deep Learning Models,”
Procedia Computer Science, vol. 240, pp. 455–463, 2024.
3. M. Zaidi, H. Daud, and M. Shafique, “Lane Detection in Autonomous Driving: A Comprehensive Survey of Methods and
Performance,” in 2024 IEEE Karachi Section Humanitarian Technology Conference (KHI-HTC), 2024.
4. R. Ahmed et al., “A Novel Hybrid Deep Learning Algorithm for Object and Lane Detection in Autonomous Driving,” Journal of
Artificial Intelligence and Technology, vol. 5, no. 2, pp. 88–97, 2025.
5. C. Shinde, R. Sharma, and P. Chinmay, “Lane and Object Detection using YOLO: Indian Roads Scenario,” Journal of Image Processing
and Intelligent Remote Sensing, vol. 4, no. 3, pp. 45–53, 2024.
6. L. Liang et al., “Vehicle Detection Algorithms for Autonomous Driving,” Sensors, vol. 24, no. 10, pp. 3088–3102, 2024.
7. F. Ma, W. Qi, and G. Zhao, “Monocular 3D Lane Detection for Autonomous Driving: Recent Achievements, Challenges, and
Outlooks,” arXiv preprint arXiv: 2404.06860, 2024.
8. X. He et al., “Monocular Lane Detection Based on Deep Learning: A Survey,” arXiv preprint arXiv: 2411.16316, 2024.
9. M. A. Rabbani Alif, “YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transp ortation
Systems,” arXiv preprint arXiv: 2410.22898, 2024.
10. S. K. Verma and P. Singh, “Real-Time Lane and Object Detection using Deep Learning for Autonomous Vehicles,” International
Journal of Intelligent Transportation Systems Research, vol. 13, no. 2, pp. 95–104, 2025.
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