Vehicle escape

US10759433B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10759433-B2
Application numberUS-201815978983-A
CountryUS
Kind codeB2
Filing dateMay 14, 2018
Priority dateOct 16, 2017
Publication dateSep 1, 2020
Grant dateSep 1, 2020

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A map, including potential obstacles, can be generated by a computing device in a vehicle. An estimated coefficient of friction between the vehicle wheels and a roadway surrounding a stuck vehicle can be generated based on sensor data. A path can be determined based on the map, and the stuck vehicle can be operated based on the path and a determined slip ratio based on the vehicle wheels to unstick the stuck vehicle.

First claim

Opening claim text (preview).

What is claimed is: 1. A method, comprising: generating a map including obstacles and an estimated coefficient of friction between vehicle wheels and a roadway surrounding a stuck vehicle based on sensor data; determining a path based on the map; and operating the stuck vehicle based on the path and a slip control process based on the vehicle wheels. 2. The method of claim 1 , wherein the estimated coefficient of friction between the vehicle wheels and the roadway is lower than a value that was empirically determined to permit operation of the stuck vehicle. 3. The method of claim 2 , further comprising determining a slip ratio based on vehicle wheel motion parallel to the roadway and vehicle wheel rotation to determine the slip control process. 4. The method of claim 3 , further comprising determining the slip control process to permit the stuck vehicle to operate based on the path and a determined slip ratio despite the estimated coefficient of friction. 5. The method of claim 4 , further comprising matching a slip ratio of vehicle wheels to determine the stuck vehicle is unstuck. 6. The method of claim 1 , further comprising generating the map including generating a first map based on vehicle sensor data including obstacles. 7. The method of claim 6 , further comprising generating the map including generating a second map based on vehicle sensor data including estimating coefficients of friction for locations surrounding the stuck vehicle. 8. The method of claim 7 , further comprising combining the first map and the second map and determining the path based on the combined first map and second map. 9. The method of claim 1 , wherein vehicle sensor data includes passive sensor data and active sensor data. 10. A system, comprising: a processor; and a memory, the memory including instructions to be executed by the processor to: generate a map including obstacles and an estimated coefficient of friction between vehicle wheels and a roadway surrounding a stuck vehicle based on sensor data; determine a path based on the map; and operate the stuck vehicle based on the path and a slip control process based the vehicle wheels. 11. The system of claim 10 , wherein the estimated coefficient of friction between the vehicle wheels and the roadway is lower than a value that was empirically determined to permit operation of the stuck vehicle. 12. The system of claim 11 , further comprising determining a slip ratio based on vehicle wheel motion parallel to the roadway and vehicle wheel rotation to determine the slip control process. 13. The system of claim 12 , further comprising determining slip control process to permit the stuck vehicle to operate based on the path and a determined slip ratio despite the estimated coefficient of friction. 14. The system of claim 13 , further comprising matching a slip ratio of vehicle wheels to determine the stuck vehicle is unstuck. 15. The system of claim 10 , further comprising generating the map including generating a first map based on vehicle sensor data including obstacles. 16. The system of claim 15 , further comprising generating the map including generating a second map based on vehicle sensor data including estimating coefficients of friction for locations surrounding the stuck vehicle. 17. The system of claim 16 , further comprising combining the first map and the second map and determining the path based on the combined first map and second map. 18. The system of claim 10 , wherein vehicle sensor data includes passive sensor data and active sensor data. 19. A system, comprising: means for acquiring sensor data; means for controlling stuck vehicle steering, braking and powertrain; computer means for: generating a map including obstacles and an estimated coefficient of friction between vehicle wheels and a roadway surrounding the stuck vehicle based on sensor data acquired by the means for acquiring sensor data; determining a path based on the map; and operating the stuck vehicle based on the path and a determined slip ratio based on the vehicle wheels to unstick the stuck vehicle by the means for controlling the stuck vehicle steering, braking and powertrain. 20. The system of claim 19 , wherein the estimated coefficient of friction between the vehicle wheels and the roadway is lower than a value that was empirically determined to permit operation of the stuck vehicle.

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What does patent US10759433B2 cover?
A map, including potential obstacles, can be generated by a computing device in a vehicle. An estimated coefficient of friction between the vehicle wheels and a roadway surrounding a stuck vehicle can be generated based on sensor data. A path can be determined based on the map, and the stuck vehicle can be operated based on the path and a determined slip ratio based on the vehicle wheels to uns…
Who is the assignee on this patent?
Ford Global Tech Llc
What technology area does this patent fall under?
Primary CPC classification B60W30/18172. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Sep 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).