INFERENCE OF VEHICULAR TRAJECTORY CHARACTERISTICS WITH PERSONAL MOBILE DEVICES
First Claim
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1. A method comprising inferring vehicular trajectory characteristics, said inferring comprising:
- acquiring using a machine-implemented processor data representing a sequence of acceleration-related measurements of a device, the device being in an unknown and changeable orientation relative to the frame of reference of a vehicle in which the device is traveling;
forming using a machine-implemented processor a plurality of time segments of the acceleration-related data, wherein the orientation of the device relative to the vehicle when acquiring the data differs between at least some of the time segments;
for each time segment of a plurality of time segments, using a machine-implemented processor,determining data characterizing an orientation of the device relative to a frame of reference of the vehicle during that time segment,forming motion-related data in the frame of reference of the vehicle during the time segment, anddetermining data characterizing trajectory characteristics of the vehicle in the time segment; and
storing data characterizing trajectory characteristic of the vehicle determined from the data characterizing the trajectory characteristics in multiple of the time segments.
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Abstract
Accurate longitudinal acceleration, lateral acceleration (perpendicular to the principal direction of motion, and velocity, is inferred by processing raw data from a commodity three-axis accelerometer that may be oriented arbitrarily in a moving vehicle (or carried by a moving user), and whose orientation and position may change arbitrarily during the motion. The approach is applicable to a range of applications, including insurance telematics, driver behavior and risk assessment, and road surface quality assessment.
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Citations
31 Claims
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1. A method comprising inferring vehicular trajectory characteristics, said inferring comprising:
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acquiring using a machine-implemented processor data representing a sequence of acceleration-related measurements of a device, the device being in an unknown and changeable orientation relative to the frame of reference of a vehicle in which the device is traveling; forming using a machine-implemented processor a plurality of time segments of the acceleration-related data, wherein the orientation of the device relative to the vehicle when acquiring the data differs between at least some of the time segments; for each time segment of a plurality of time segments, using a machine-implemented processor, determining data characterizing an orientation of the device relative to a frame of reference of the vehicle during that time segment, forming motion-related data in the frame of reference of the vehicle during the time segment, and determining data characterizing trajectory characteristics of the vehicle in the time segment; and storing data characterizing trajectory characteristic of the vehicle determined from the data characterizing the trajectory characteristics in multiple of the time segments. - View Dependent Claims (2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31)
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3. (canceled)
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28. Software stored on a non-transitory machine-readable medium comprising instructions for causing a processor to:
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acquire data representing a sequence of acceleration-related measurements of a device traveling in a vehicle; form a plurality of time segments of the acceleration-related data, such that the orientation of the device relative to the vehicle when acquiring the data differs between at least some of the formed time segments; for each of a plurality of the time segments, determine data characterizing an orientation of the device relative to a frame of reference of the vehicle, form motion-related data in the frame of reference of the vehicle during the time segment, and determine data characterizing trajectory characteristics of the vehicle in the time segment; and store data characterizing trajectory characteristic of the vehicle determined from the data characterizing the trajectory characteristics in multiple of the time segments.
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Specification