US 12,405,363 B2
Dual sensing method of object and computing apparatus for object sensing
Jiun-In Guo, Hsinchu (TW); and Jia-Jheng Lin, Hsinchu (TW)
Assigned to Wistron Corporation, New Taipei (TW)
Filed by Wistron Corporation, New Taipei (TW)
Filed on Sep. 23, 2022, as Appl. No. 17/951,115.
Claims priority of application No. 111118729 (TW), filed on May 19, 2022.
Prior Publication US 2023/0375694 A1, Nov. 23, 2023
Int. Cl. G01S 13/86 (2006.01); G01S 7/295 (2006.01); G01S 13/72 (2006.01)
CPC G01S 13/867 (2013.01) [G01S 7/2955 (2013.01); G01S 13/723 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A dual sensing method of an object, comprising:
performing a first clustering on radar information, wherein the radar information comprises a plurality of sensing points, and the first clustering is for determining a first part of the sensing points to be an object;
performing a second clustering on a result of the first clustering, wherein the second clustering is for determining that in response to the first part of the sensing points being the object in the result of the first clustering being located in a region of a first density;
taking a result of the second clustering as a region of interest;
using a fixed region as the region of interest, wherein the fixed region is predefined, and a result of the second clustering is a region that does not have the first density; and
performing at least one of object detection and object tracking on combined information according to the region of interest, wherein the combined information is formed by combining the radar information and an image, and a detection region of the radar information is overlapped with a photographing region of the image.