python - How to fuse GPS and IMU data

Question

Given GPS and IMU sensors mounted onto a robot, how can I estimate the pose (location and heading) of the robot on a 2D plane in Python? An Extended Kalman Filter seems to be commonly used method, but I'm lost as to how I should be plugging in my data into any of the open-source implementations of the filter that are currently online.

I've tried looking here.

But I'm having trouble making sense of the documentation. Thank you so much for any help!!

Specs of sensors: GPS gives longitude and latitude IMU has 9 degrees of freedom: accelerometer, gyroscope, magnetometer, each along the x, y, and z axes

Answer 1

等待大神答复