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 代理人
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