2024
Hybrid Stereo Dense Depth Estimation for Robotic Tasks in Industrial Automation
IROS 2024
We introduce a simple yet effective approach for dense depth reconstruction that operates directly on raw disparity data, eliminating the need for additional disparity refinement stages. By leveraging disparity maps generated from conventional stereo methods, we train a U-Net-based model to directly