New Multi-view Vision System Paper Accepted for Robust Strawberry Picking

A paper led by PhD student Shimin Hu, titled “Calibration-enhanced multi-view RGB-D vision for robust recognition and 3D localization of strawberries under occlusions,” has been accepted by Computers and Electronics in Agriculture.

The study presents a calibration-enhanced algorithm that fuses data from multiple cameras. This system significantly improves fruit recognition and precise 3D localization in dense, occluded environments, enabling more reliable robotic harvesting.

Congratulations to the authors!