Information processing method for determining difficult area in which travel of vehicle by automatic driving is difficult, information processing apparatus, system, and storage medium

Patent metadata

Field	Value
Publication number	US-11409281-B2
Application number	US-201815982101-A
Country	US
Kind code	B2
Filing date	May 17, 2018
Priority date	May 31, 2017
Publication date	Aug 9, 2022
Grant date	Aug 9, 2022

Abstract

An information processing method includes: acquiring, from one or more first vehicles, manual driving information for each of the first vehicles; acquiring, from one or more second vehicles, automatic driving information for each of the second vehicles; calculating, for each area, a first value of a driving parameter correlated with a degree of difficulty in driving according to the manual driving information; calculating, for the each area, a second value of the driving parameter according to the automatic driving information; comparing the first value with the second value for the each area to determine at least one difficult area in which travel of a vehicle by automatic driving is difficult; and creating difficult area information.

First claim

What is claimed is:

1. An information processing method executed by a computer, the method comprising:
performing, a driving operation in a manual mode of a first vehicle, the driving operation includes at least steering of a steering wheel, operation of blinkers, and operation of an accelerator pedal and a brake pedal;
(A) acquiring, from the first vehicle and while the first vehicle is performing the driving operation via a first plurality of sensors, manual driving information corresponding to the driving operation of the first vehicle that includes a history of manual driving data for the first vehicle, wherein the manual driving information includes data on the steering of steering of the steering wheel, the operation of the blinkers, and the operation of the accelerator pedal and the brake pedal;
performing, the driving operation in an automatic mode of a second vehicle, the second vehicle being different from the first vehicle;
(B) acquiring, from the second vehicle and while the second vehicle is performing the driving operation via a second plurality of sensors, automatic driving information relating to the driving operation of the second vehicle that includes a history of automatic driving data for the second vehicle, wherein the automatic driving information includes data on the steering of steering of the steering wheel, the operation of the blinkers, and the operation of the accelerator pedal and the brake pedal;
(C) calculating, for each area, first values of a plurality of first driving parameters correlated with a degree of difficulty in driving according to the manual driving information, each of the first values including a first mean value per unit distance of the manual driving data corresponding to a first driving parameter, wherein the first driving parameters correlated with the degree of difficulty in driving according to the manual driving information includes a number of accelerations and decelerations, a number of lane changes, and an intra-lane traveling position;
(D) calculating, for the each area, second values of a plurality of second driving parameters according to the automatic driving information, each of the second values including a second mean value per unit distance of the automatic driving data corresponding to a second driving parameter, wherein the second driving parameters correlated with the degree of difficulty in driving according to the automatic driving information includes a number of accelerations and decelerations, a number of lane changes, and an intra-lane traveling position;
(E) comparing the first values with the second values for the each area to determine at least one difficult area in which travel of a vehicle by automatic driving is more difficult than manual driving when an aggregation of differences between the first values and the second values is above a predetermined threshold, the first values indicating a number of changes to vehicle movement operation and the intra-lane traveling position per unit distance while in an autonomous driving mode for a respective area, and the second values indicating a number of changes to vehicle movement operation and the intra-lane traveling position per unit distance while in a manual driving mode for the respective area;
(F) creating difficult area information that indicates the difficult area that is more difficult to drive by the automatic driving, the difficult area information including a first position of a traffic sign, a second position of an obstacle on the road, and a third position of a geographic lane location that are determined to be incorrectly detected based on a reference automatic driving map; and
(G) displaying, via a display, the difficult area as a graphic icon on a map and a report relating to the first values and the second values,
wherein the difficult area is determined based on the number of changes to vehicle movement operation and the intra-lane traveling position per unit distance while in the autonomous driving mode, and wherein the difficult area displayed as the graphic icon on the map is subsequently removed when the aggregation of differences between the first values and the second values falls below the predetermined threshold.

2. The information processing method according to claim 1 , wherein the manual driving information includes, for each area where the first vehicles have traveled, a number of accelerations and decelerations performed by the each of the first vehicles, the number of lane changes made by the each of the first vehicles, and an intra-lane traveling position, relative to a center of a lane, of the each of the first vehicles during driving.

3. The information processing method according to claim 1 , wherein the automatic driving information includes, for each area where the second vehicles have traveled, a number of accelerations and decelerations performed by the each of the second vehicles, the number of lane changes made by the each of the second vehicles, and an intra-lane traveling position, relative to a center of a lane, of the each of the second vehicles during driving.

4. The information processing method according to claim 1 , wherein the (E) includes:
calculating, for the each area, a difference between the first value and the second value; and
determining an area for which the difference is equal to or larger than a predetermined value as the difficult area.

5. The information processing method according to claim 1 , further comprising:
(C′) calculating, for the each area, a third value of another driving parameter that is correlated with a degree of difficulty in driving according to the manual driving information; and
(D′) calculating, for the each area, a fourth value of the another driving parameter according to the automatic driving information; wherein
the (E) includes:
(E1) calculating, for the each area, a first difference between the first value and the second value;
(E2) determining, for the each area, a first score according to the first difference;
(E3) calculating, for the each area, a second difference between the third value and the fourth value;
(E4) determining, for the each area, a second score according to the second difference;
(E5) determining, for the each area, a total score from a plurality of scores including the first score and the second score; and
(E6) determining an area for which the total score is equal to or larger than a predetermined value as the at least one difficult area.

6. The information processing method according to claim 1 , wherein the each area is one of a plurality of areas into which a map is divided for each road, for each section of the each road, or for each longitude and each latitude.

7. The information processing method according to claim 1 , further comprising
(H) acquiring condition information that indicates a weather, a driver, and/or a time zone in which the first vehicles have traveled, wherein
the (E) includes:
comparing the first value acquired under a first condition with the second value acquired under a second condition same as or similar to the first condition, based on the condition information.

8. The information processing method according to claim 1 , wherein the (F) includes:
(F1) acquiring situation information that indicates a road situation in the difficult area from the first vehicles, the second vehicles, and/or a monitoring system installed on roads;
(F2) comparing the situation information with map information that indicates an area, corresponding to the difficult area, of map data referenced when the second vehicles travel by auto driving, wherein the map information corresponds to information that is displayed on a map; and
(F3) creating update information for updating the map information of t

Assignees

• Panasonic Ip Corp America

Inventors

• Yamaguchi Takuya
• Harada Naoyuki
• Matsui Shuhei
• Umetani Hideo

Classifications

• G08G1/0112 Primary

  from the vehicle, e.g. floating car data [FCD] · CPC title

• G08G1/0133

  for classifying traffic situation · CPC title

• G08G1/0129

  for creating historical data or processing based on historical data · CPC title

• H04W4/46

  for vehicle-to-vehicle communication [V2V] · CPC title

• G08G1/096791

  where the origin of the information is another vehicle · CPC title