View source for Waymo llc (20240182065). Identification of Proxy Calibration Targets for a Fleet of Vehicles simplified abstract

=Identification of Proxy Calibration Targets for a Fleet of Vehicles=


==Organization Name==

[[:Category:waymo llc|waymo llc]]


[[Category:waymo llc]]

==Inventor(s)==

[[:Category:Volker Grabe of Mountain View CA (US)|Volker Grabe of Mountain View CA (US)]][[Category:Volker Grabe of Mountain View CA (US)]]

[[:Category:Colin Braley of Mountain View CA (US)|Colin Braley of Mountain View CA (US)]][[Category:Colin Braley of Mountain View CA (US)]]

[[:Category:Volodymyr Ivanchenko of Mountain View CA (US)|Volodymyr Ivanchenko of Mountain View CA (US)]][[Category:Volodymyr Ivanchenko of Mountain View CA (US)]]

[[:Category:Alexander Meade of Mountain View CA (US)|Alexander Meade of Mountain View CA (US)]][[Category:Alexander Meade of Mountain View CA (US)]]

==Identification of Proxy Calibration Targets for a Fleet of Vehicles - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240182065 titled 'Identification of Proxy Calibration Targets for a Fleet of Vehicles

==Simplified Explanation==

==Simplified Explanation==
The patent application discusses a method for identifying proxy calibration targets for sensors in a fleet of vehicles by using data collected from a sensor on a vehicle.

* The method involves collecting data about objects in the vehicle's environment using a calibrated sensor.
* It identifies candidate objects to be used as proxy calibration targets for other sensors in the fleet.
* The vehicle provides data about the candidate object for use by other vehicles in the fleet.

==Key Features and Innovation==
* Method for identifying proxy calibration targets for sensors in a fleet of vehicles.
* Uses data collected by a sensor on a vehicle to identify candidate objects.
* Improves calibration accuracy for sensors in a fleet of vehicles.

==Potential Applications==
This technology can be applied in various industries such as autonomous vehicles, surveillance systems, and environmental monitoring.

==Problems Solved==
* Ensures accurate calibration of sensors in a fleet of vehicles.
* Reduces the need for ground-truth calibration targets for each sensor.

==Benefits==
* Improved accuracy of sensor calibration.
* Cost-effective calibration method for sensors in a fleet of vehicles.

==Commercial Applications==
* "Proxy Calibration Target Identification Method for Fleet Sensors" can be used in the automotive industry for autonomous vehicles and in surveillance systems for accurate object detection.

==Prior Art==
No prior art information is available at this time.

==Frequently Updated Research==
There is ongoing research in the field of sensor calibration and fleet management systems that may be relevant to this technology.

==Questions about Proxy Calibration Target Identification Method for Fleet Sensors==
===How does this method improve sensor calibration accuracy?===
This method improves sensor calibration accuracy by using candidate objects identified from collected data as proxy calibration targets for other sensors in the fleet.

===What are the potential cost savings associated with this technology?===
The potential cost savings include reducing the need for ground-truth calibration targets for each sensor in the fleet, making the calibration process more efficient and cost-effective.


==Original Abstract Submitted==

example embodiments relate to identification of proxy calibration targets for a fleet of sensors. an example method includes collecting, using a sensor coupled to a vehicle, data about one or more objects within an environment of the vehicle. the sensor has been calibrated using a ground-truth calibration target. the method also includes identifying, based on the collected data, at least one candidate object, from among the one or more objects, to be used as a proxy calibration target for other sensors coupled to vehicles within a fleet of vehicles. further, the method includes providing, by the vehicle, data about the candidate object for use by one or more vehicles within the fleet of vehicles.



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