US 11,948,372 B2
Vehicle assist method and vehicle assist device
Hyeongsung Cho, Kanagawa (JP); and Hiroshi Satoh, Kanagawa (JP)
Assigned to Nissan Motor Co., Ltd., Yokohama (JP); and Renault S.A.S., Boulogne-Billancourt (FR)
Appl. No. 18/038,839
Filed by Nissan Motor Co., Ltd., Yokohama (JP); and RENAULT S.A.S., Boulogne-Billancourt (FR)
PCT Filed Nov. 27, 2020, PCT No. PCT/IB2020/000978
§ 371(c)(1), (2) Date May 25, 2023,
PCT Pub. No. WO2022/112810, PCT Pub. Date Jun. 2, 2022.
Prior Publication US 2024/0020989 A1, Jan. 18, 2024
Int. Cl. G06V 20/56 (2022.01); G06T 3/40 (2006.01); G06T 3/4053 (2024.01); G06T 7/215 (2017.01); G06T 7/38 (2017.01); G06V 10/24 (2022.01); G06V 10/25 (2022.01); G06V 20/58 (2022.01)
CPC G06V 20/588 (2022.01) [G06T 3/4053 (2013.01); G06T 7/215 (2017.01); G06T 7/38 (2017.01); G06V 10/24 (2022.01); G06V 10/25 (2022.01); G06V 20/582 (2022.01); G06V 20/584 (2022.01)] 14 Claims
OG exemplary drawing
 
1. A vehicle assist method comprising:
capturing a plurality of images of surroundings of a host vehicle at a plurality of different times using a camera; and
processing the plurality of images using a controller, wherein the processing by the controller includes:
extracting a stationary object region, which is a region corresponding to a stationary object, from each of the plurality of images,
aligning the plurality of images based on a movement amount of the stationary object in the stationary object region in each of the plurality of images,
performing super-resolution processing using the plurality of aligned images in order to generate a super-resolution image that exceeds a resolution of each of the plurality of images captured by the camera, and
recognizing road structures based on the super-resolution image.