US 12,421,676 B2
Road surface evaluation apparatus and road surface evaluation method
Atsuki Kakinuma, Tokyo (JP); Akira Iihoshi, Tokyo (JP); Yasuo Oishi, Tokyo (JP); Takeo Tokunaga, Tokyo (JP); and Hiroyuki Onimaru, Tokyo (JP)
Assigned to Honda Motor Co., Ltd., Tokyo (JP)
Appl. No. 17/927,206
Filed by Honda Motor Co., Ltd., Tokyo (JP)
PCT Filed May 19, 2021, PCT No. PCT/JP2021/018956
§ 371(c)(1), (2) Date Nov. 22, 2022,
PCT Pub. No. WO2021/241350, PCT Pub. Date Dec. 2, 2021.
Claims priority of application No. 2020-093108 (JP), filed on May 28, 2020.
Prior Publication US 2023/0243113 A1, Aug. 3, 2023
Int. Cl. E01C 23/01 (2006.01); G01B 21/30 (2006.01)
CPC E01C 23/01 (2013.01) [G01B 21/30 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A road surface evaluation apparatus, comprising:
an electronic control unit having a microprocessor and a memory connected to the microprocessor, wherein
the microprocessor is configured to perform
acquiring driving information including information indicating a motion of a vehicle while driving and position information of the vehicle, map information including information on a road on which the vehicle is traveling, and vehicle information including unique information of the vehicle;
deriving a roughness value indicating a roughness of a road surface of the road on which the vehicle is traveling based on the driving information;
correcting the roughness value based on the vehicle information; and
outputting the corrected roughness value in association with the road information, wherein
the microprocessor is configured to further perform
determining a correction factor for correcting the roughness value, based on a ratio of roughness values of the road for each of a plurality of vehicles, the roughness values being derived based on the driving information acquired from each of the plurality of vehicles when the plurality of vehicles travel on a course for measurement or a predetermined road whose roughness value has already been derived and has a reliability equal to or higher than a predetermined value,
the vehicle information includes the correction factor in association with the unique information, and
the microprocessor is configured to perform
the correcting including correcting the roughness value based on the unique information included in the vehicle information.