Vehicle command generation using vehicle-to-infrastructure communications and deep networks
First Claim
1. A system to command vehicles via a vehicle-to-infrastructure communication network, comprising:
- a first roadside computing device positioned at a first location in a vehicular travel path, the first roadside computing device to broadcast one or more data packets comprising a timestamp;
a first vehicle comprising an onboard computing device to;
receive the one or more data packets broadcast by the first roadside computing device;
calibrate, based on the timestamp received via the one or more data packets broadcast by the first roadside computing device, an internal clock of the first vehicle to adjust a clock drift resulting from the internal clock of the first vehicle counting at a different rate relative to the first roadside computing device; and
transmit, responsive to receipt of the one or more data packets and calibration of the internal clock, a status of the first vehicle to the first roadside computing device;
the first roadside computing device to;
receive the status of the first vehicle transmitted by the first vehicle;
generate a second one or more data packets comprising the status of the first vehicle, and information associated with the first location in the vehicular travel path; and
transmit the second one or more data packets to a data processing system;
the data processing system comprising one or more processors and memory, a command generator component and a deep learning engine, the data processing system to;
input the status of the first vehicle and the information associated with the first location into the deep learning engine;
assign, based on an output from the deep learning engine, a label to the first vehicle;
select a vehicle command based on the label; and
transmit the vehicle command to the first vehicle to execute an action for traversing the vehicular travel path.
3 Assignments
0 Petitions
Accused Products
Abstract
Commanding vehicles via a vehicle-to-infrastructure communication network are provided. A roadside unit in a location on a vehicular travel path broadcasts timestamps. A vehicle having an onboard unit receives the timestamp, calibrates an internal clock, and transmits a status of the first vehicle to the first roadside computing unit. The roadside unit receives the status of the vehicle, and transmits, to a data processing system, data packets including the status and information associated with the location in the vehicular travel path. The data processing system inputs the status information and the information associated with the location into a deep learning engine to assign, based on an output from the deep learning engine, a label to the vehicle. The data processing system selects a vehicle command based on the label and transmits the vehicle command to the vehicle to execute an action for traversing the vehicular travel path.
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Citations
20 Claims
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1. A system to command vehicles via a vehicle-to-infrastructure communication network, comprising:
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a first roadside computing device positioned at a first location in a vehicular travel path, the first roadside computing device to broadcast one or more data packets comprising a timestamp; a first vehicle comprising an onboard computing device to; receive the one or more data packets broadcast by the first roadside computing device; calibrate, based on the timestamp received via the one or more data packets broadcast by the first roadside computing device, an internal clock of the first vehicle to adjust a clock drift resulting from the internal clock of the first vehicle counting at a different rate relative to the first roadside computing device; and transmit, responsive to receipt of the one or more data packets and calibration of the internal clock, a status of the first vehicle to the first roadside computing device; the first roadside computing device to; receive the status of the first vehicle transmitted by the first vehicle; generate a second one or more data packets comprising the status of the first vehicle, and information associated with the first location in the vehicular travel path; and transmit the second one or more data packets to a data processing system; the data processing system comprising one or more processors and memory, a command generator component and a deep learning engine, the data processing system to; input the status of the first vehicle and the information associated with the first location into the deep learning engine; assign, based on an output from the deep learning engine, a label to the first vehicle; select a vehicle command based on the label; and transmit the vehicle command to the first vehicle to execute an action for traversing the vehicular travel path. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method of commanding vehicles via a vehicle-to-infrastructure communication network, comprising:
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broadcasting, by a first roadside computing device positioned at a first location in a vehicular travel path, one or more data packets comprising a timestamp; receiving, by a first vehicle comprising an onboard computing device, the one or more data packets broadcast by the first roadside computing device; calibrating, by the onboard computing device of the first vehicle based on the timestamp received via the one or more data packets broadcast by the first roadside computing device, an internal clock of the first vehicle to adjust a clock drift resulting from the internal clock of the first vehicle counting at a different rate relative to the first roadside computing device; transmitting, by the onboard computing device of the first vehicle responsive to receipt of the one or more data packets and calibration of the internal clock, a status of the first vehicle to the first roadside computing device; receiving, by the first roadside computing device, the status of the first vehicle; generating, by the first roadside computing device, a second one or more data packets comprising the status of the first vehicle and information associated with the first location in the vehicular travel path; transmitting, by the first roadside computing device, the second one or more data packets to a data processing system; inputting, by the data processing system, the status of the first vehicle and the information associated with the first location into a deep learning engine; assigning, by the data processing system based on an output from the deep learning engine, a label to the first vehicle; selecting, by the data processing system, a vehicle command based on the label; and transmitting, by the data processing system, the vehicle command to the first vehicle to cause the first vehicle to execute an action for traversing the vehicular travel path. - View Dependent Claims (18)
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19. A system to command vehicles via a vehicle-to-infrastructure communication network, comprising:
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a data processing system comprising one or more processors and memory, a command generator component and a deep learning engine, the data processing system to; receive, from a roadside computing device positioned at a vehicular travel path, one or more data packets comprising a status for a vehicle, a time stamp, and information associated with a location of the vehicle in the vehicular travel path, wherein the vehicle transmits the status to the roadside computing device responsive to calibration, based on a timestamp of the roadside computing device, of an internal clock of the vehicle to adjust a clock drift resulting from the internal clock of the vehicle counting at a different rate relative to the roadside computing device; input the status of the vehicle and the information associated with the location into the deep learning engine; assign, based on an output from the deep learning engine, a label to the vehicle; select a vehicle command based on the label; and transmit the vehicle command to the first vehicle to execute an action for traversing the vehicular travel path. - View Dependent Claims (20)
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Specification