Shanghai Huace Navigation Technology Ltd

Jiejun Wang

Xuefeng Shen

Qiang Ren

Jin Zhou

Rui Tu

Zhiqiang Fang

Guangjie Cao

Guangyang Dong

Wending Dai

Kangde Zhao

Hao Zhuang

Benyin Yuan

Dongguo Piao

Guiyan Cui

Shaoxi Feng

Rui Song

Huazhong Xie

Lilong Wei

A method of automatically switching a mode of receiving differential data for driving test and driver training using a mobile station includes the following steps of: after a mobile station installed on a training vehicle is powered on, using a mode of receiving the differential data by a radio station; if the differential data cannot be received within a preset time period under the mode, switching the radio station to a GPRS mode; if the radio station of the mobile station receives failure information, feeding the information back to a back-end server by the mobile station; informing a technician, by the back-end server, to perform troubleshooting, after the radio station failure is eliminated, feeding information back to the mobile station through the back-end server, and switching the mobile station back to the mode of receiving the differential data by the radio station.

Method of automatically switching mode of receiving differential data for driving test and driving training using a mobile station

A method for initial alignment of an inertial navigation apparatus, comprising the following steps: providing an apparatus loaded with a sensor, and preprocessing the sensor; carrying out relative alignment to calculate an installation error angle of the sensor; carrying out absolute alignment to calculate an installation attitude angle error of the sensor to increase an accuracy of an error attitude angle calculated during the relative alignment. The relative alignment process calculates a relative error attitude angle, the relative error attitude angle being used as the initial value for attitude error in a stat vector in the absolute alignment process, thereby accelerating convergence of the Kalman filter. Alignment precision is further enhanced by the absolute alignment process.

Method for initial alignment of an inertial navigation apparatus

A tilt measurement method for an RTK measuring receiver includes the following steps: step S1: fixing the bottom of a centering rod and performing a measurement after an inclination and shake; step S2: obtaining a measurement point sequence, a measurement point tilt sequence, a length of the centering rod, and a height of an antenna phase center based on the measurement; step S3: obtaining a positioning quality threshold and a geodetic coordinate of the to-be-measured point based on values obtained from the measurement; and step S4: determining whether the positioning quality threshold meets a requirement or not to decide whether to finish the measurement or not. In the method, the position of a to-be-measured point is calculated according to the position and the tilt angle of the antenna phase center of the receiver, and the length of the centering rod etc. during multiple tilt measurements.

Tilt measurement method for RTK measuring receiver

An automatic calibration method of an angle sensor for an automatic drive control system of a farm machine includes the following steps. S1: fixing a steering wheel of the farm machine to make front wheels of a vehicle kept at a fixed angle. S2: collecting a plurality of pieces of current position information of the farm machine, and processing the plurality of pieces of current position information to obtain an average value. S3: establishing a two-wheel farm machine kinematics model based on a center of a rear axle. S4: performing a radius calculation to obtain a set of angle correspondences. S5: rotating the farm machine by a preset angle at a constant speed with the rear axle of the farm machine as a center, and performing S1 through S4. S6: after performing S5 for several times, performing an angle value fitting calculation to obtain a calibration coefficient.

Automatic calibration method of an angle sensor for an automatic drive control system of a farm machine

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Shanghai, China

Jiejun Wang