IP Library › Granted Patent US 11,433,909
Granted Patent B2
US 11,433,909 · App. 16/456,447 · Granted Sep 6, 2022

Wind data estimating apparatus

Inventor: Shin Sakurada (Toyota, JP)
Assignee: Toyota Jidosha Kabushiki Kaisha
B60W40/107B60W50/08B60W2520/06B60W2520/105B60W2540/10B60W2552/00B60W2555/20
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Quick Facts
Patent No.
US 11,433,909
App. No.
16/456,447
Granted
Sep 6, 2022
Kind
B2
Abstract

A wind data estimating apparatus includes one or more processors configured to collect vehicle information including a first acceleration, an amount of driving operation performed by a driver of a vehicle, and position information, which are obtained by sensors installed in the vehicle; classify the collected vehicle information by an area of a plurality of areas according to the position information; and estimate a wind velocity and a wind direction for the area and for a time range when the vehicle information is obtained, on the basis of an acceleration obtained from subtracting a second acceleration caused by the amount of driving operation from the first acceleration included in the vehicle information classified by the area.

Claims (47)

1. A wind data estimating apparatus comprising:

one or more processors configured to

collect vehicle information including a first acceleration, an amount of driving operation performed by a driver of a vehicle, and position information, which are detected by sensors installed in the vehicle;

classify the collected vehicle information by an area of a plurality of mesh-like areas according to the position information; and

estimate a wind velocity and a wind direction for the area and for a time range when the vehicle information is obtained, on the basis of an acceleration obtained from subtracting a second acceleration caused by the amount of driving operation from the first acceleration included in the vehicle information classified by the area; and

a memory configured to

store a wind database with respect to an estimated wind velocity and an estimated wind direction on a per area basis and per time range basis, each of the estimated wind velocity and the estimated wind direction being an average with respect to a plurality of vehicles that are associated with a corresponding area and a corresponding time range,

wherein averages of a plurality of wind velocities and a plurality of wind directions for which sample standard deviations are equal to or less than predetermined threshold values are stored in the wind database, and wherein

for the averages of the plurality of wind velocities and the plurality of wind directions for which the sample standard deviations are greater than the predetermined threshold values,

new averages of the plurality of wind velocities and the plurality of wind directions obtained after increasing the number of samples by increasing a size of the area until the sample standard deviations become equal to or less than the predetermined threshold values are stored in the wind database, or

the averages of the plurality of wind velocities and the plurality of wind directions are stored in the wind database as they are, leaving the size of the area unchanged together with flags indicating that reliability is not high.

2. The wind data estimating apparatus according to claim 1 , wherein

the amount of driving operation performed by the driver of the vehicle includes an accelerator position, a brake operation amount, a vehicle velocity, or a steering angle detected by a corresponding sensor of the sensors installed in the vehicle.

3. The wind data estimating apparatus according to claim 2 , wherein

the one or more processors are configured to obtain, from the estimated wind velocity and wind direction and the vehicle velocity of the vehicle, a wind velocity and a wind direction in a ground coordinate system with respect to a traveling direction of the vehicle.

4. The wind data estimating apparatus according to claim 2 , wherein

the one or more processors are configured to estimate the wind velocity and the wind direction of the area and the time range on the basis of an acceleration obtained from subtracting, from the first acceleration, the second acceleration and a third acceleration of the vehicle caused by a cross-grade or a grade of a road corresponding to the position information.

5. The wind data estimating apparatus according to claim 4 , wherein

the one or more processors are configured to obtain, from the estimated wind velocity and wind direction and the vehicle velocity of the vehicle, a wind velocity and a wind direction in a ground coordinate system with respect to a traveling direction of the vehicle.

6. The wind data estimation apparatus according to claim 2 , wherein

the one or more processors are configured to

collect respective sets of vehicle information from a plurality of vehicles;

classify the collected sets of vehicle information by respective areas from among the plurality of mesh-like areas in accordance with corresponding sets of position information; and

estimate the wind velocity and the wind direction of the area on the basis of a plurality of wind velocities and a plurality of wind directions estimated from corresponding sets of vehicle information obtained during a same time range from among a plurality of sets of vehicle information classified by a same area.

7. The wind data estimating apparatus according to claim 6 , wherein

the one or more processors are configured to obtain, from the estimated wind velocity and wind direction and the vehicle velocity of the vehicle, a wind velocity and a wind direction in a ground coordinate system with respect to a traveling direction of the vehicle.

8. The wind data estimating apparatus according to claim 6 , wherein

the one or more processors are configured to estimate the plurality of wind velocities and the plurality of wind directions from the corresponding sets of vehicle information of the same area and the same time range, on the basis of accelerations obtained from subtracting, from first accelerations, second accelerations and third accelerations that occur in the vehicles due to cross-grades or grades of roads associated with corresponding sets of position information, respectively.

9. The wind data estimating apparatus according to claim 8 , wherein

the one or more processors are configured to obtain, from the estimated wind velocity and wind direction and the vehicle velocity of the vehicle, a wind velocity and a wind direction in a ground coordinate system with respect to a traveling direction of the vehicle.

10. The wind data estimating apparatus according to claim 1 , wherein

the one or more processors are configured to estimate the wind velocity and the wind direction of the area and the time range on the basis of an acceleration obtained from subtracting, from the first acceleration, the second acceleration and a third acceleration of the vehicle caused by a cross-grade or a grade of a road corresponding to the position information.

11. The wind data estimating apparatus according to claim 10 , wherein

the one or more processors are configured to obtain, from the estimated wind velocity and wind direction and a vehicle velocity of the vehicle, a wind velocity and a wind direction in a ground coordinate system with respect to a traveling direction of the vehicle.

12. The wind data estimation apparatus according to claim 1 , wherein

the one or more processors are configured to

collect respective sets of vehicle information from a plurality of vehicles;

classify the collected sets of vehicle information by respective areas from among the plurality of mesh-like areas in accordance with corresponding sets of position information; and

estimate the wind velocity and the wind direction of the area on the basis of a plurality of wind velocities and a plurality of wind directions estimated from corresponding sets of vehicle information obtained during a same time range from among a plurality of sets of vehicle information classified by a same area.

13. The wind data estimating apparatus according to claim 12 , wherein

the one or more processors are configured to obtain, from the estimated wind velocity and wind direction and a vehicle velocity of the vehicle, a wind velocity and a wind direction in a ground coordinate system with respect to a traveling direction of the vehicle.

14. The wind data estimating apparatus according to claim 12 , wherein

the one or more processors are configured to estimate the plurality of wind velocities and the plurality of wind directions from the corresponding sets of vehicle information of the same area and the same time range, on the basis of accelerations obtained from subtracting, from first accelerations, second accelerations and third accelerations that occur in the vehicles due to cross-grades or grades of roads associated with corresponding sets of position information, respectively.

15. The wind data estimating apparatus according to claim 14 , wherein

the one or more processors are configured to obtain, from the estimated wind velocity and wind direction and a vehicle velocity of the vehicle, a wind velocity and a wind direction in a ground coordinate system with respect to a traveling direction of the vehicle.

16. The wind data estimating apparatus according to claim 1 , wherein

the one or more processors are configured to obtain, from the estimated wind velocity and wind direction and a vehicle velocity of the vehicle, a wind velocity and a wind direction in a ground coordinate system with respect to a traveling direction of the vehicle.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 28, 2019
From: SAKURADA, SHIN
To: TOYOTA JIDOSHA KABUSHIKI KAISHA
Reel/Frame 049623/0025 →
Priority Claims (1)
JP JP2018-131837 · Jul 11, 2018 · national
Continuity (1)
Related Publication 20200017112A1 · Jan 16, 2020