Method for generating transfer path, electronic device, and computer storage medium
US-2024004393-A1 · Jan 4, 2024 · US
US9977431B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9977431-B2 |
| Application number | US-201715419804-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 30, 2017 |
| Priority date | Jul 16, 2014 |
| Publication date | May 22, 2018 |
| Grant date | May 22, 2018 |
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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.
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.
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from other sources than vehicle or roadside beacons, e.g. mobile networks · CPC title
electric {constitutive elements} · CPC title
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