Skip to main navigation menu Skip to main content Skip to site footer

Electrotechnical and Computer Engineering

Vol. 41 No. 10 (2026): Proceedings of the Faculty of Technical Sciences

Practical Camera–LiDAR Fusion for Roadside Traffic Monitoring: Detection, Tracking, and Counting

  • Слађана Симић
DOI:
https://doi.org/10.24867/36BE62Simic
Submitted
October 14, 2026
Published
2026-10-16

Abstract

These work presents a practical camera–LiDAR fusion system for monitoring road traffic. The proposed pipeline combines 2D detections from panoramic images with 3D point clouds to achieve more reliable vehicle extraction. The system includes panorama generation from E57 data, YOLO‑based detection, point‑cloud downsampling, and spatial filtering of points corresponding to detected vehicles.

References

  1. [1] A. Sochaniwsky et al., „A Camera–LiDAR Fusion Framework for Traffic Monitoring”, IEEE ITEC, 2024. Доступно: https://ieeexplore.ieee.org/document/10598852. Приступљено: Feb. 2026.
  2. [2] L. Wang, Y. Huang, „LiDAR–camera fusion for road detection using a recurrent CRF model”, Scientific Reports, 2022. Доступно: https://www.nature.com/articles/s41598-022-14438-w.pdf. Приступљено: Feb. 2026.
  3. [3] A. Ansari, B. R. Kadali, „Real-time traffic data collection using roadside LiDAR: a novel background filtering approach”, Innovative Infrastructure Solutions, 2025. Доступно: https://link.springer.com/article/10.1007/s41062-025-02284-4. Приступљено: Feb. 2026.
  4. [4] C. Lin, G. Sun, D. Wu, C. Xie, „Vehicle Detection and Tracking with Roadside LiDAR Using Improved ResNet18 and the Hungarian Algorithm”, Sensors, vol. 23, no. 19, 2023. Доступно: https://www.mdpi.com/1424-8220/23/19/8143. Приступљено: Feb. 2026.
  5. [5] L. Huang, W. Huang, „RD YOLO: An Effective and Efficient Object Detector for Roadside Perception Systems”, Sensors, vol. 22, no. 21, 2022. Доступно: https://www.mdpi.com/1424-8220/22/21/8097. Приступљено: Feb. 2026.