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导航定位, 采用GPS+IMU以及其他传感器数据.

CMake 2.87% C++ 81.82% C 2.07% Shell 0.17% Cuda 1.15% Fortran 11.72% Python 0.08% JavaScript 0.07% CSS 0.05%

location's Introduction

Location

定位是驾驶导航过程中是最基础的一步,也是十分关键的一步,一个准确的定位可以有效提高绑路的精度,也能更加精准感知驾驶形态的变化,由于本项目主要基于手机做导航定位,目前采用的是手机内置的传感器数据(陀螺仪,加速计,地磁计)以及GPS数据融合定位。

手机传感器数据如下:

流程

Test case

GPS轨迹

  • 融合

  • 未融合

IMU轨迹

reference:

  1. 《惯性导航》秦永元
  2. 《捷联惯性导航技术(第2版 译本)》译者:张天光/王秀萍/王丽霞 作者:DavidH.Titte
  3. An efficient orientation filter for inertial and inertial/magnetic sensor arrays
  4. Estimation of IMU and MARG orientation using a gradient descent algorithm
  5. Direction Cosine Matrix IMU Theory
  6. METHODS FOR NON-LINEAR LEAST SQUARES PROBLEMS
  7. A Calibration Algorithm for Microelectromechanical Systems Accelerometers in Inertial Navigation Sensors
  8. A Calibration Method of Three-axis Magnetic Sensor Based on Ellipsoid Fitting
  9. Accuracy Improvement of Low Cost INS/GPS for Land Applications
  10. Trajectory preprocessing: Computing with Spatial Trajectories

location's People

Contributors

ruilin avatar

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