Vehicle awning
US-2024217316-A1 · Jul 4, 2024 · US
US12404692B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12404692-B2 |
| Application number | US-202318171990-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 21, 2023 |
| Priority date | Feb 21, 2023 |
| Publication date | Sep 2, 2025 |
| Grant date | Sep 2, 2025 |
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An awning system for a vehicle includes at least one vehicle sensor, a vehicle awning, and a controller in electrical communication with the at least one vehicle sensor and the vehicle awning. The controller is programmed to identify at least one deployment criterion using the at least one vehicle sensor. The controller is further programmed to determine at least one deployment parameter based at least in part on the at least one deployment criterion The controller is further programmed to deploy the vehicle awning based at least in part on the at least one deployment parameter in response to identifying the at least one deployment criterion.
Opening claim text (preview).
What is claimed is: 1. An awning system for a vehicle, the system comprising: a plurality of vehicle sensors; a vehicle awning; a controller in electrical communication with the plurality of vehicle sensors and the vehicle awning, wherein the controller is programmed to: identify at least one deployment criterion using the plurality of vehicle sensors, wherein to identify the at least one deployment criterion, the controller is further programmed to: determine a weather condition in an environment surrounding the vehicle using the plurality of vehicle sensors; determine an occupant location relative to the vehicle using the plurality of vehicle sensors; determine a vehicle parking state using the plurality of vehicle sensors, wherein the vehicle parking state includes a vehicle parked state and a vehicle non-parked state; and identify the at least one deployment criterion based at least in part on the weather condition, the occupant location, and the vehicle parking state; determine at least one deployment parameter based at least in part on the at least one deployment criterion; and deploy the vehicle awning based at least in part on the at least one deployment parameter in response to identifying the at least one deployment criterion. 2. The awning system of claim 1 , wherein to identify the at least one deployment criterion, the controller is further programmed to: identify the at least one deployment criterion in response to determining that the weather condition is a precipitation condition, the occupant location is within a predetermined proximity threshold to the vehicle, and the vehicle parking state is the vehicle parked state. 3. The awning system of claim 1 , wherein the plurality of vehicle sensors further includes a global navigation satellite system (GNSS), and wherein to determine the vehicle parking state, the controller is further programmed to: determine a location of the vehicle using the GNSS; determine a gear selector state of a gear selector of the vehicle, wherein the gear selector state includes a parking selected state and non-parking selected state; and determine the vehicle parking state based at least in part on the location of the vehicle and the gear selector state. 4. The awning system of claim 1 , wherein the plurality of vehicle sensors further includes a vehicle communication system, and wherein to identify the at least one deployment criterion, the controller is further programmed to: receive a deployment signal using the vehicle communication system; and identify the at least one deployment criterion in response to receiving the deployment signal. 5. The awning system of claim 1 , wherein to identify the at least one deployment criterion, the controller is further programmed to: determine a predicted door utilization of the vehicle using the plurality of vehicle sensors, wherein the predicted door utilization includes at least one door of the vehicle; and identify the at least one deployment criterion in response to determining that a coverage area of the vehicle awning includes at least one door of the predicted door utilization. 6. The awning system of claim 5 , wherein the plurality of vehicle sensors further includes a perception sensor, and wherein to determine the predicted door utilization, the controller is further programmed to: perform at least one perception measurement using the perception sensor; determine a predicted path of an occupant approaching the vehicle based at least in part on the at least one perception measurement; identify a cargo load of the occupant based at least in part on the at least one perception measurement; and determine the predicted door utilization based at least in part on the predicted path and the cargo load. 7. The awning system of claim 1 , wherein the plurality of vehicle sensors further includes a ranging sensor, and wherein to determine the at least one deployment parameter, the controller is further programmed to: determine a desired awning deployment distance based at least in part on the at least one deployment criterion; determine a maximum awning deployment distance, wherein determining the maximum awning deployment distance includes performing a distance measurement between the vehicle awning and an obstacle in an environment surrounding the vehicle using the ranging sensor; and determine an awning deployment distance based on the desired awning deployment distance and the maximum awning deployment distance, wherein the awning deployment distance is equal to a lesser of the desired awning deployment distance and the maximum awning deployment distance. 8. The awning system of claim 7 , wherein to determine the at least one deployment parameter, the controller is further programmed to: determine a light level of an environment surrounding the vehicle using the plurality of vehicle sensors; compare the light level to a predetermined light level threshold; and determine a vehicle awning light source activation state to be a light source active state in response to determining that the light level is less than or equal to the predetermined light level threshold. 9. The awning system of claim 8 , wherein the vehicle awning further includes a vehicle awning light source, and wherein to deploy the vehicle awning, the controller is further programmed to: deploy the vehicle awning to the awning deployment distance in response to identifying the at least one deployment criterion; and enable the vehicle awning light source in response to determining that the vehicle awning light source activation state is the light source active state. 10. A method for deploying a vehicle awning, the method comprising: identifying at least one deployment criterion using a controller and a plurality of vehicle sensors, wherein identifying the at least one deployment criterion further comprises: performing at least one perception measurement using the controller and a perception sensor; determining a predicted path of an occupant approaching the vehicle using the controller based at least in part on the at least one perception measurement; identifying a cargo load of the occupant using the controller based at least in part on the at least one perception measurement; determining a predicted door utilization of the vehicle using the controller based at least in part on the predicted path and the cargo load, wherein the predicted door utilization includes at least one door of the vehicle; and identifying the at least one deployment criterion using the controller in response to determining that a coverage area of the vehicle awning includes at least one door of the predicted door utilization; determining at least one deployment parameter using the controller based at least in part on the at least one deployment criterion; and deploying the vehicle awning using the controller based at least in part on the at least one deployment parameter in response to identifying the at least one deployment criterion. 11. The method of claim 10 , wherein identifying the at least one deployment criterion further comprises: determining a weather condition in an environment surrounding the vehicle using the controller and the plurality of vehicle sensors; determining an occupant location relative to the vehicle using the controller and the plurality of vehicle sensors; determining a vehicle parking state using the controller and the plurality of vehicle sensors, wherein the vehicle parking state includes a vehicle parked state and a vehicle non-parked state; and identifying the at least one deployment criterion using the controller in response to determining that the weather condition is a precipitati
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