Abstract: A point cloud positioning error detection method, performed by a processing device, includes: obtaining a plurality of pieces of first point data and a target point cloud map, wherein the target point cloud map includes a plurality of pieces of target point data, registering the first point data and the target point data to obtain a plurality of pieces of second point data, selecting a plurality of pieces of third point data from the second point data according to a first default distance, calculating a plurality of matching scores of the third point data relative to the target point data, obtaining a plurality of step vectors corresponding to the third point data, respectively, when said registering converges, and obtaining a plurality of effective values according to directions of the step vectors, and outputting a localization fault detection result based on an intersection of the matching scores and the effective values.

Abstract: The disclosure provides a method for adjusting a user interface (UI) of an electronic apparatus. The method includes following steps: analyzing color information of an image; generating a first palette having at least one first pilot color based on the color information of the image; and performing a color scheme in at least one page of the user interface according to the first palette having the at least one first pilot color.

Abstract: The disclosure provides a method for adjusting a user interface (UI) of an electronic apparatus. The method includes following steps: analyzing color information of an image; generating a first palette having at least one first pilot color based on the color information of the image; and performing a color scheme in at least one page of the user interface according to the first palette having the at least one first pilot color.