Incheon National University Researchers Find Solution for Reliable Excavator Tracking in Real-World Construction Environments
May 02: A recent study published in Automation in Construction by researchers from Incheon National University exploits a novel approach to improving excavator tracking performance under real-world conditions. By integrating deep learning-based instance segmentation with…