US 12,311,951 B2
Methods and systems for detecting wind speed and direction during driving
Xiaoling Han, San Diego, CA (US); Jianqiu Cao, San Diego, CA (US); Shuhan Yang, San Diego, CA (US); and Yijing Li, San Diego, CA (US)
Assigned to TUSIMPLE, INC., San Diego, CA (US)
Filed by TuSimple, Inc., San Diego, CA (US)
Filed on Dec. 15, 2022, as Appl. No. 18/066,541.
Claims priority of provisional application 63/266,674, filed on Jan. 11, 2022.
Prior Publication US 2023/0219575 A1, Jul. 13, 2023
Int. Cl. B60W 40/02 (2006.01); B60W 30/02 (2012.01); B60W 40/105 (2012.01); B60W 40/114 (2012.01)
CPC B60W 40/02 (2013.01) [B60W 30/02 (2013.01); B60W 40/105 (2013.01); B60W 40/114 (2013.01); B60W 2420/00 (2013.01); B60W 2510/202 (2013.01); B60W 2520/14 (2013.01); B60W 2520/40 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method of wind estimation in a vehicle, comprising:
estimating, by a processor of a vehicle controller, a speed and a direction of wind movement near the vehicle based on a first sensor output from a wind sensor, or a second sensor output from a non-wind sensor, or a combination of the first sensor output and the second sensor output, wherein a primary purpose of the wind sensor is wind detection, and a primary purpose of the non-wind sensor is different from wind detection; and
generating a control output indicative of a vehicle disturbance force resulting from the wind based on the estimated speed and direction of the wind movement;
wherein the estimating of the speed and direction of the wind includes using a vehicle motion model to perform a trajectory prediction under certain wind conditions or no-wind conditions;
wherein the non-wind sensor includes a yaw-rate sensor configured to detect an actual yaw rate, and wherein the vehicle motion model generates an expected yaw rate, and wherein the actual yaw rate is compared to the expected yaw rate to determine an unintended lateral vehicle motion caused by the wind.