Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Abstract: LiDAR point cloud data is essential in autonomous driving, robotic navigation, and 3D modeling. However, noise caused by sensor errors and environmental factors degrades data quality and ...

Corrections will occur, but within a rising geometric structure, pullbacks are more likely to resolve into higher lows rather than trend failure. Once price sustains above prior all-time highs on a ...

Abstract: To design the “Kansei value” aspect of a product, it is useful to design multilayered relationships of perceptual and affective responses via the physical or psychophysical properties of the ...