Automotive drone deployment system

US9977431B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9977431-B2
Application numberUS-201715419804-A
CountryUS
Kind codeB2
Filing dateJan 30, 2017
Priority dateJul 16, 2014
Publication dateMay 22, 2018
Grant dateMay 22, 2018

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

This disclosure generally relates to an automotive drone deployment system that includes at least a vehicle and a deployable drone that is configured to attach and detach from the vehicle. More specifically, the disclosure describes the vehicle and drone remaining in communication with each other to exchange information while the vehicle is being operated in an autonomous driving mode so that the vehicle's performance under the autonomous driving mode is enhanced.

First claim

Opening claim text (preview).

The invention claimed is: 1. A vehicle comprising: a plurality of sensors, including one or more leading sensors configured to sense external objects leading the vehicle, and processor(s) configured to: determine a vehicle speed; estimate a leading sensing range of the one or more leading sensors; determine a desired leading sensing range of the one or more leading sensors; compare the estimated leading sensing range with the desired leading sensing range; transmit an instruction to a drone based on the comparison. 2. The vehicle of claim 1 , wherein the instruction comprises a command for the drone to detach from the vehicle. 3. The vehicle of claim 1 , wherein the instruction comprises a command for the drone to fly toward a specified location. 4. The vehicle of claim 3 , wherein the processor(s) are configured to base the specified location on the determined vehicle speed. 5. The vehicle of claim 1 , wherein the vehicle speed is a desired vehicle speed or an actual vehicle speed and wherein the processor(s) are configured to: autonomously steer the vehicle based on inputs from the plurality of sensors; autonomously accelerate the vehicle based on inputs from the plurality of sensors; enforce a speed cap on the vehicle; vary the enforced speed cap based on the estimated leading sensing range of the one or more leading sensors. 6. The vehicle of claim 5 , wherein the processor(s) are configured to: receive information from the drone; vary the enforced speed cap based on received information. 7. A drone deployment system comprising: the vehicle of claim 1 and the drone, the drone comprising drone sensors and drone processor(s) configured to: determine whether the drone is docked with the vehicle; transmit readings from the drone sensors to the vehicle when the drone is docked. 8. The vehicle of claim 1 , wherein the processor(s) are configured to: receive traffic data from a traffic server; transmit an instruction to the drone based on the received traffic data. 9. The vehicle of claim 8 , wherein the processor(s) are configured to: determine a traffic congestion location based on the received traffic data; transmit an instruction to the drone to sense the determined traffic congestion location. 10. The vehicle of claim 1 , wherein the processor(s) are configured to: receive a vehicle destination; autonomously steer the vehicle based on inputs from the plurality of sensors and the received vehicle destination; autonomously accelerate the vehicle based on inputs from the plurality of sensors; instruct the drone to move toward and sense the received vehicle destination. 11. A method of controlling a vehicle, the vehicle comprising a plurality of sensors, including one or more leading sensors configured to sense external objects leading the vehicle, and processor(s), the method comprising, via the processor(s): determining a vehicle speed; estimating a leading sensing range of the one or more leading sensors; determining a desired leading sensing range of the one or more leading sensors; comparing the estimated leading sensing range with the desired leading sensing range; transmitting an instruction to a drone based on the comparison. 12. The method of claim 11 , wherein the instruction comprises a command for the drone to detach from the vehicle. 13. The method of claim 11 , wherein the instruction comprises a command for the drone to fly toward a specified location. 14. The method of claim 13 , comprising specifying the location based on the determined vehicle speed. 15. The method of claim 14 , wherein the vehicle speed is a desired vehicle speed or an actual vehicle speed and the method comprises: autonomously steering the vehicle based on inputs from the plurality of sensors; autonomously accelerating the vehicle based on inputs from the plurality of sensors; enforcing a speed cap on the vehicle; varying the enforced speed cap based on the estimated leading sensing range of the one or more leading sensors. 16. The method of claim 15 , comprising: receiving information from the drone; varying the enforced speed cap based on the received information. 17. The method of claim 16 , wherein the drone comprises drone sensors and drone processor(s), the method comprising: determining whether the drone is docked with the vehicle; transmitting readings from the drone sensors to the vehicle when the drone is docked. 18. The method of claim 13 , comprising: receiving traffic data from a traffic server; specifying the location based on the received traffic data. 19. The method of claim 18 , comprising: determining a traffic congestion location based on the received traffic data; specifying the location based on the determined traffic congestion location. 20. The method of claim 19 , comprising: receiving a vehicle destination; autonomously steering the vehicle based on inputs from the plurality of sensors and the received vehicle destination; autonomously accelerating the vehicle based on inputs from the plurality of sensors; instructing the drone to move toward and sense the received vehicle destination.

Assignees

Inventors

Classifications

  • Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units · CPC title

  • Arrangements for transmitting signals characterised by the use of a wireless electrical link · CPC title

  • from other sources than vehicle or roadside beacons, e.g. mobile networks · CPC title

  • electric {constitutive elements} · CPC title

  • Traffic information broadcasting (broadcasting communication H04H) · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9977431B2 cover?
This disclosure generally relates to an automotive drone deployment system that includes at least a vehicle and a deployable drone that is configured to attach and detach from the vehicle. More specifically, the disclosure describes the vehicle and drone remaining in communication with each other to exchange information while the vehicle is being operated in an autonomous driving mode so that t…
Who is the assignee on this patent?
Ford Global Tech Llc
What technology area does this patent fall under?
Primary CPC classification G05D1/0276. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 22 2018 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 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).