Robust Zero-Shot Change Detection for Mobile Robots Using Spinning LiDAR and Deep Learning Segmentation

A novel approach for detecting changes in the environment using spinning LiDAR data and the Segment Anything Model, enabling robust navigation for mobile robots across varying illumination conditions.