Our PhD student SeongJoo Moon presented his work titled “LiDAR-camera Online Calibration by Representing Local Feature and Global Spatial Context” at IROS2024. This research proposes a Transformer-based framework for LiDAR-camera online calibration, addressing degradation in calibration accuracy caused by physical vibrations and environmental changes. By learning feature correspondences and integrating global spatial context, the method achieves superior calibration performance compared to existing benchmarks, enhancing perception systems for autonomous driving applications.
