发明名称 |
INFERENCE OF VEHICULAR TRAJECTORY CHARACTERISTICS WITH PERSONAL MOBILE DEVICES |
摘要 |
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. |
申请公布号 |
US2014278206(A1) |
申请公布日期 |
2014.09.18 |
申请号 |
US201313832456 |
申请日期 |
2013.03.15 |
申请人 |
CAMBRIDGE MOBILE TELEMATICS |
发明人 |
Girod Lewis D.;Balakrishnan Hari;Madden Samuel Ross |
分类号 |
G01C15/00;G01P15/08 |
主分类号 |
G01C15/00 |
代理机构 |
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代理人 |
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主权项 |
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. |
地址 |
Cambridge MA US |