Lane keeping system for autonomous vehicle in wind conditions
US-2017334444-A1 · Nov 23, 2017 · US
US10228696B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10228696-B2 |
| Application number | US-201715416877-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 26, 2017 |
| Priority date | Jan 26, 2017 |
| Publication date | Mar 12, 2019 |
| Grant date | Mar 12, 2019 |
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Example wind detection systems and methods are described. In one implementation, a method receives data from a vehicle-mounted sensor and determines whether airborne particles are identified in the received data. If airborne particles are identified in the received data, the method determines a wind speed and a wind direction based on movement of the airborne particles and determines a best action to avoid or mitigate the impact of the wind.
Opening claim text (preview).
The invention claimed is: 1. A method comprising: receiving, by a wind detection system, sensor data from a sensor mounted to a vehicle the sensor being a LIDAR (light detection and ranging) sensor; receiving, by the wind detection system, images from a camera mounted to the vehicle; receiving, by the wind detection system, pitch and yaw data from at least one of an accelerometer and a gyroscope; detecting particles around the vehicle by using the sensor data and the images; receiving, by the wind detection system, map data associated with the vehicle's current geographic location; receiving, by the wind detection system, weather data associated with the vehicle's current geographic location; determining, by the wind detection system, a wind condition near the vehicle based on fusion of the sensor data, the images, the pitch and yaw data, the map data, and the weather data; responsive to determining that the wind condition near the vehicle is severe, determining, by the wind detection system, a best action to avoid or mitigate wind-caused impact on the vehicle; and implementing, by the wind detection system, the best action. 2. The method of claim 1 , wherein the vehicle further includes a radar sensor. 3. The method of claim 1 , wherein the best action to avoid or mitigate the wind-caused impact on the vehicle includes at least one of reducing a speed of the vehicle, parking the vehicle near natural windbreaks, maneuvering the vehicle close to man-made windbreaks, and positioning the vehicle to face a wind. 4. The method of claim 1 , further comprising generating audible or visual warnings regarding the wind conditions. 5. The method of claim 1 , further comprising reporting the wind conditions to other nearby vehicles. 6. The method of claim 1 , wherein the vehicle is an autonomous vehicle. 7. An apparatus comprising: a plurality of sensors mounted to a vehicle and configured to capture sensor data, the plurality of sensors including a light detection and ranging (LIDAR) sensor, a radio detection and ranging (RADAR) sensor, a camera, an accelerometer, and a gyroscope; and a wind detection system coupled to the sensor and configured to receive and analyze the sensor data from the plurality of sensors and fuse the sensor data from all of the plurality of sensors to identify airborne particles near the vehicle, the wind detection system further configured, responsive to identification of airborne particles, to: determine a wind speed and wind direction based on movement of the airborne particles; determine a best action to avoid or mitigate a wind-caused impact on the vehicle; and implement the best action.
Ambient conditions, e.g. wind or rain · CPC title
of positioning data, e.g. GPS [Global Positioning System] data · CPC title
responsive only to forces disturbing the intended course of the vehicle, e.g. forces acting transversely to the direction of vehicle travel · CPC title
Holograms used as optical elements · CPC title
Investigating concentration of particle suspensions (by weighing G01N5/00; investigating sedimentation of particle suspensions G01N15/04; investigating individual particles G01N15/10) · CPC title
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