-
公开(公告)号：US20170307376A1
公开(公告)日：2017-10-26
申请号：US15507549
申请日：2015-10-01
申请人： Shaghayegh ZIHAJEHZADAH , Jung Wook PARK , Reynald Antoine HOSKINSON , Hamid ABDOLLAHI , Intel Corporation
CPC分类号： G01C21/16 , A61B5/1122 , A63B5/16 , G01C5/06 , G01C21/165 , G01C21/24 , G01C21/28 , G01P15/13 , G06K9/00342 , G06K9/00496
摘要： This disclosure provides a vertical position and velocity determination system for inertial measurement unit (IMU) integrated with a barometric altimeter in the same device (IMU-baro). The system includes a rate of turn input connected to receive a measured IMU-baro rate of turn; an acceleration input connected to receive a measured IMU-baro acceleration; a barometric pressure input connected to receive a measured IMU-baro altitude; a first Kalman filter connected to the rate of turn input and to the acceleration input to estimate a roll and pitch of the IMU-baro based on the measured IMU-baro rate of turn and the measured IMU-baro acceleration; and a second Kalman filter connected to the acceleration input, to the barometric pressure input, and to the first Kalman filter.
-
公开(公告)号：US10222213B2
公开(公告)日：2019-03-05
申请号：US15507549
申请日：2015-10-01
申请人： INTEL CORPORATION , Shaghayegh Zihajehzadeh , Jung Wook Park , Reynald Antoine Hoskinson , Hamid Abdollahi
摘要： This disclosure provides a vertical position and velocity determination system for inertial measurement unit (IMU) integrated with a barometric altimeter in the same device (IMU-baro). The system includes a rate of turn input connected to receive a measured IMU-baro rate of turn; an acceleration input connected to receive a measured IMU-baro acceleration; a barometric pressure input connected to receive a measured IMU-baro altitude; a first Kalman filter connected to the rate of turn input and to the acceleration input to estimate a roll and pitch of the IMU-baro based on the measured IMU-baro rate of turn and the measured IMU-baro acceleration; and a second Kalman filter connected to the acceleration input, to the barometric pressure input, and to the first Kalman filter.
-
公开(公告)号：US10240929B2
公开(公告)日：2019-03-26
申请号：US15507328
申请日：2015-10-01
申请人： Intel Corporation
发明人： Shaghayegh Zihajehzadeh , Tien Jung Lee , Jung Wook Park , Reynald Antoine Hoskinson , Hamid Abdollahi
摘要： The present disclosure provides a jump detection system for inertial measurement unit (IMU) integrated with a barometric altimeter in the same device (IMU-baro). The processor is configured to record time-series data of both a vertical component of the measured IMU-baro acceleration and the estimated vertical velocity of the IMU-baro, detect a potential jump by comparing the vertical component of the measured IMU-baro acceleration to one or more acceleration thresholds, and, validate the potential jump by comparing a difference between a maximum velocity and a minimum velocity within a vicinity of the potential jump in the time-series data of the estimated vertical velocity of the IMU-baro to a velocity threshold.
-
4.发明申请公开(公告)号：US20170284805A1
公开(公告)日：2017-10-05
申请号：US15507328
申请日：2015-10-01
申请人： Intel Corporation
发明人： Shaghayegh Zihajehzadeh , Tien Jung Lee , Jung Wook Park , Reynald Antoine Hoskinson , Hamid Abdollahi
CPC分类号： G01C21/16 , A61B5/1122 , A63B5/16 , G01C5/06 , G01C21/165 , G01C21/24 , G01C21/28 , G01P15/13 , G06K9/00342 , G06K9/00496
摘要： The present disclosure provides a jump detection system for inertial measurement unit (IMU) integrated with a barometric altimeter in the same device (IMU-baro). The processor is configured to record time-series data of both a vertical component of the measured IMU-baro acceleration and the estimated vertical velocity of the IMU-baro, detect a potential jump by comparing the vertical component of the measured IMU-baro acceleration to one or more acceleration thresholds, and, validate the potential jump by comparing a difference between a maximum velocity and a minimum velocity within a vicinity of the potential jump in the time-series data of the estimated vertical velocity of the IMU-baro to a velocity threshold.
-
-
-
搜索结果
4 条记录 (耗时 0.022 秒)
