System and method for traffic data collection using unmanned aerial vehicles (UAVs)
First Claim
1. A system comprising:
- an unmanned aerial vehicle (UAV), equipped with a camera, positioned at an elevated position at a monitored location or to track a specific target vehicle, the UAV configured to capture video data of the monitored location or the target vehicle for a pre-determined period of time using the UAV camera;
a data processor; and
a human driver model module, executable by the data processor, the human driver model module being configured to;
receive the captured video data from the UAV;
process the captured video data on a frame basis to identify vehicles or objects of interest for analysis;
group the video data from multiple frames related to a particular vehicle or object of interest into a data group associated with the particular vehicle or object;
create a data group for each of the vehicles or objects of interest; and
provide the data groups corresponding to each of the vehicles or objects of interest as output data used to configure or train a human driver model for prediction or simulation of human driver behavior.
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Accused Products
Abstract
A system and method for traffic data collection using unmanned aerial vehicles (UAVs) are disclosed. A particular embodiment is configured to: deploy an unmanned aerial vehicle (UAV), equipped with a camera, to an elevated position at a monitored location or to track a specific target vehicle; capture video data of the monitored location or the target vehicle for a pre-determined period of time using the UAV camera; transfer the captured video data to a processing system; at the processing system, process the captured video data on a frame basis to identify vehicles or objects of interest for analysis; group the video data from multiple frames related to a particular vehicle or object of interest into a data group associated with the particular vehicle or object; create a data group for each of the vehicles or objects of interest; and provide the data groups corresponding to each of the vehicles or objects of interest as output data used to configure or train a human driver model for prediction or simulation of human driver behavior.
121 Citations
20 Claims
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1. A system comprising:
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an unmanned aerial vehicle (UAV), equipped with a camera, positioned at an elevated position at a monitored location or to track a specific target vehicle, the UAV configured to capture video data of the monitored location or the target vehicle for a pre-determined period of time using the UAV camera; a data processor; and a human driver model module, executable by the data processor, the human driver model module being configured to; receive the captured video data from the UAV; process the captured video data on a frame basis to identify vehicles or objects of interest for analysis; group the video data from multiple frames related to a particular vehicle or object of interest into a data group associated with the particular vehicle or object; create a data group for each of the vehicles or objects of interest; and provide the data groups corresponding to each of the vehicles or objects of interest as output data used to configure or train a human driver model for prediction or simulation of human driver behavior. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method comprising:
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deploy an unmanned aerial vehicle (UAV), equipped with a camera, to an elevated position at a monitored location or to track a specific target vehicle; capture video data of the monitored location or the target vehicle for a pre-determined period of time using the UAV camera; transfer the captured video data to a processing system; at the processing system, process the captured video data on a frame basis to identify vehicles or objects of interest for analysis; group the video data from multiple frames related to a particular vehicle or object of interest into a data group associated with the particular vehicle or object; create a data group for each of the vehicles or objects of interest; and provide the data groups corresponding to each of the vehicles or objects of interest as output data used to configure or train a human driver model for prediction or simulation of human driver behavior. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A non-transitory machine-useable storage medium embodying instructions which, when executed by a machine, cause the machine to:
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receive captured video data from an unmanned aerial vehicle (UAV), equipped with a camera, positioned at an elevated position at a monitored location or to track a specific target vehicle, the UAV configured to capture video data of the monitored location or the target vehicle for a pre-determined period of time using the UAV camera; process the captured video data on a frame basis to identify vehicles or objects of interest for analysis; group the video data from multiple frames related to a particular vehicle or object of interest into a data group associated with the particular vehicle or object; create a data group for each of the vehicles or objects of interest; and provide the data groups corresponding to each of the vehicles or objects of interest as output data used to configure or train a human driver model for prediction or simulation of human driver behavior. - View Dependent Claims (18, 19, 20)
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Specification