US 12,354,417 B2
Vehicle data analysis method and device
Yuki Horihata, Kanagawa (JP); and Toru Takagi, Kanagawa (JP)
Assigned to Nissan Motor Co., Ltd., Kanagawa (JP)
Appl. No. 18/850,962
Filed by Nissan Motor Co., Ltd., Kanagawa (JP)
PCT Filed Mar. 28, 2022, PCT No. PCT/JP2022/014781
§ 371(c)(1), (2) Date Sep. 25, 2024,
PCT Pub. No. WO2023/187851, PCT Pub. Date Oct. 5, 2023.
Prior Publication US 2025/0111706 A1, Apr. 3, 2025
Int. Cl. G07C 5/00 (2006.01); G01L 5/24 (2006.01); G06Q 40/08 (2012.01); G07C 5/04 (2006.01); G07C 5/06 (2006.01)
CPC G07C 5/008 (2013.01) [G01L 5/24 (2013.01); G06Q 40/08 (2013.01); G07C 5/04 (2013.01); G07C 5/06 (2013.01)] 31 Claims
OG exemplary drawing
 
1. A vehicle data analysis method comprising:
acquiring data, using a plurality of sensors, of a vehicle component during travel and based on this data, repeatedly calculating a degree of abnormality of the vehicle component which changes according to use of a vehicle as a first degree of abnormality, the plurality of sensors comprising an acceleration sensor, a pressure sensor, and a variation sensor;
detecting a collision of the vehicle;
by prediction of change of the degree of abnormality which has been calculated until a time of the collision, estimating a degree of abnormality of a case where the vehicle travels from the time of the collision to a certain time of comparison of the degree of abnormality, and setting this degree of abnormality as a first degree of abnormality;
acquiring data of the vehicle component after the collision during self-travelling of the vehicle after the collision, and based on this data, calculating a degree of abnormality of the vehicle component at the time of the comparison of the degree of abnormality, and setting this degree of abnormality as a second degree of abnormality;
comparing the first degree of abnormality and the second degree of abnormality, wherein
changing driving characteristics is performed to correct a difference between degree of abnormalities based on the comparison between the first degree of abnormality and the second degree of abnormality.