Özet
The accurate extrinsic calibration of LiDAR-camera sensor pairs is essential for reliable multi-sensor perception in autonomous systems. Manual measurements are prone to error, and extrinsic parameters can drift over time due to vibration or mechanical disturbances, consequently degrading system performance. We propose an automatic, single-shot targetless calibration framework that requires only one synchronized image-point cloud pair. The method automatically identifies edgerich regions of interest (ROIs) from the camera image, extracts geometric features in both modalities, and optimizes the 6-DOF extrinsic transformation using deterministic Particle Swarm Optimization (PSO). Experimental validation on the KITTI dataset demonstrates competitive performance compared to stateof-the-art calibration methods.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | 2026 10th International Conference on Mechanical Engineering and Robotics Research, ICMERR 2026 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 182-186 |
| Sayfa sayısı | 5 |
| ISBN (Elektronik) | 9798331562625 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 2026 |
| Etkinlik | 10th International Conference onMechanical Engineering and Robotics Research, ICMERR 2026 - Milan, Italy Süre: 20 May 2026 → 22 May 2026 |
Yayın serisi
| Adı | 2026 10th International Conference on Mechanical Engineering and Robotics Research, ICMERR 2026 |
|---|
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| ???event.eventtypes.event.conference??? | 10th International Conference onMechanical Engineering and Robotics Research, ICMERR 2026 |
|---|---|
| Ülke/Bölge | Italy |
| Şehir | Milan |
| Periyot | 20/05/26 → 22/05/26 |
Bibliyografik not
Publisher Copyright:© 2026 IEEE.
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