3 papers - avg viability 7.3
A vision-based framework for autonomous trucks that dynamically calibrates perception systems to handle articulated trailer geometry, improving object detection accuracy.
A Gaussian Splatting-based framework that learns geometrically precise Bird's-Eye-View representations for autonomous driving, outperforming existing methods.