InstaDrive, proposed by SJTU researchers, addresses autonomous driving’s tedious annotation and long-tail data issues. It projects 3D vehicle bounding boxes and BEV map elements into 2D instance ...
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 ...
Osaka Metropolitan University researchers proposed a geometry-aware framework for automatically removing human noise from TLS point clouds by projecting 2D instance segmentation masks into 3D space ...
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