Automotive Drone Deployment System
US-2016016663-A1 · Jan 21, 2016 · US
US2017166216A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2017166216-A1 |
| Application number | US-201615376583-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 12, 2016 |
| Priority date | Dec 10, 2015 |
| Publication date | Jun 15, 2017 |
| Grant date | — |
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A vehicle determines an expected traction value for a region of a road segment on which the vehicle is approaching. A set of motion parameters may be determined based on the expected traction value. A vehicle control operation can be implemented based on the determined set of motion parameters.
Opening claim text (preview).
What is claimed is: 1 . A method for operating an autonomous vehicle, the method comprising: determining an expected traction value for a region of a road segment on which the vehicle is approaching; determining a set of motion parameters based on the expected traction value; and implementing a vehicle control operation based on the determined set of motion parameters. 2 . The method of claim 1 , wherein determining the expected traction value includes determining a reflectance characteristic of light from a surface of the road segment. 3 . The method of claim 2 , wherein determining the reflectance characteristic of light includes using a passive camera to capture an image of the surface of the road segment. 4 . The method of claim 3 , wherein determining the reflectance characteristic of light includes detecting a white characteristic for snow. 5 . The method of claim 2 , wherein determining the reflectance characteristic of light includes using an active light source to direct light onto the surface of the road segment to create a reflected signal. 6 . The method of claim 5 , wherein determining the reflectance characteristic includes detecting a variation of at least one of a power or intensity from a reflection from the road segment of the directed light. 7 . The method of claim 6 , wherein determining the expected traction value includes: detecting precipitation on the road segment; classifying the precipitation based on the detected variation. 8 . The method of claim 7 , wherein the traction value is based on a classification of the precipitation. 9 . The method of claim 1 , wherein determining the expected traction value includes storing a set of traction values that are expected for each of a plurality of locations, including for one or more locations in the region of the road segment. 10 . The method of claim 9 , further comprising receiving the set of traction values from a network service when the vehicle is on a trip that is to go through the road segment. 11 . The method of claim 1 , wherein determining the set of motion parameters includes determining a forward or reverse acceleration parameter for the vehicle in the region of the road segment. 12 . The method of claim 1 , wherein determining the set of motion parameters includes determining a steering parameter for the vehicle in the region of the road segment. 13 . The method of claim 1 , wherein determining the set of motion parameters includes determining an immediate trajectory of the vehicle with respect to the region of the road segment. 14 . The method of claim 1 , wherein determining the set of motion parameters includes selecting one or more motion parameters based at least in part on the expected traction value. 15 . The method of claim 1 , wherein determining the set of motion parameters includes determining a braking distance for the vehicle through traffic of the road segment.
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