US 11,807,063 B2
Road surface information producing apparatus and vehicle control system
Hiroki Furuta, Numazu (JP)
Assigned to TOYOTA JIDOSHA KABUSHIKI KAISHA, Toyota (JP)
Filed by TOYOTA JIDOSHA KABUSHIKI KAISHA, Toyota (JP)
Filed on Sep. 22, 2021, as Appl. No. 17/481,392.
Claims priority of application No. 2020-178283 (JP), filed on Oct. 23, 2020.
Prior Publication US 2022/0126642 A1, Apr. 28, 2022
Int. Cl. B60G 17/0165 (2006.01); G01C 21/30 (2006.01); B60W 50/00 (2006.01); B60W 40/06 (2012.01)
CPC B60G 17/0165 (2013.01) [B60W 40/06 (2013.01); B60W 50/00 (2013.01); G01C 21/30 (2013.01); B60G 2400/20 (2013.01); B60G 2400/252 (2013.01); B60G 2400/821 (2013.01); B60G 2500/104 (2013.01); B60W 2050/006 (2013.01); B60W 2510/22 (2013.01); B60W 2520/10 (2013.01); B60W 2520/12 (2013.01); B60W 2530/10 (2013.01); B60W 2552/35 (2020.02); B60W 2710/226 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A road surface information producing apparatus comprising:
a storage device including a road surface information map that has storage areas corresponding to certain sub-sections into which a virtual area corresponding to a predetermined section of a road is divided, wherein a sub-sectional road surface displacement correlating value correlated with a vertical displacement of a road surface of the certain sub-section among said sub-sections is stored in one of said storage areas that corresponds to said certain sub-section; and
an information processing device configured to store said sub-sectional road surface displacement correlating value in one of said storage areas, and configured to:
obtain first data from a vehicle via a communication link when said vehicle travels through each of said sections of a road, said first data including:
received sensor values detected by a vertical acceleration sensor and a stroke sensor, both of which are mounted on said vehicle,
wherein said information processing device uses said sensor values to obtain said sub-sectional road surface displacement correlating value, and determines a time at which said sensor values were detected by the vertical acceleration sensor and the stroke sensor; and
position information correlated with a position of said vehicle obtained by a position information obtaining device mounted on said vehicle, and a time at which said position information was obtained; and
obtain second data, based on said first data, said second data including time series data for acquiring a data set that includes a plurality of sets each of which includes a road surface displacement correlating value correlated with a vertical displacement of a road surface and a sampling position that is a detecting position of said road surface displacement correlating value;
obtain said data set from said second data;
calculate a first sampling distance that corresponds to a distance between two of said sampling positions adjacent to each other in said data set obtained from said second data;
reacquire, when said first sampling distance is longer than a first distance threshold, said data set from data obtained by performing re-sampling to execute an interpolation using said second data in such a manner that any one of said distances between two of said sampling positions adjacent to each other is equal to or shorter than said first distance threshold and said road surface displacement correlating value corresponding to each of said sampling positions exists; and
calculate, using said data set, a first average indicative of an average of said road surface displacement correlating values of said sampling positions included in the certain sub-section of a plurality of said sub-sections, for each said certain sub-section, said certain sub-section being a sub-section to which said sampling position belongs, and store, as said sub-sectional road surface displacement correlating value, said first average in one of said storage areas that corresponds to said certain sub-section.