Python script to estimate velocity and position using Extended Kalman's Filter
Budget: $20 – $60 USD
I am looking for a skilled Python developer who can create a script to estimate velocity and position using the Extended Kalman's Filter. Velocity and position should be respect to earth's frame. I have data collected from a dk42688 9-DoF IMU . data is attached below. the data collected is in the following order:
- Time (uS)
- Accelerometer (g)
- Gyroscope (dps)
- Magnetometer (uT)
- quaternion
- linear acceleration (m/s^2): respect to sensor's frame
The project requirements are as follows:
Expected Accuracy Requirement:
- The estimation must be of high accuracy.
Data Set:
- I will provide the specific data set to be used for the script.
Deadline:
- There is a strict deadline for the completion of the script.
Ideal Skills and Experience:
- Proficiency in Python programming.
- Strong understanding of the Extended Kalman's Filter.
- Experience in working with IMU sensor data and estimation algorithms.
- Ability to deliver high accuracy results within strict deadlines.
Please include your relevant experience and sample work in your proposal.
- Time (uS)
- Accelerometer (g)
- Gyroscope (dps)
- Magnetometer (uT)
- quaternion
- linear acceleration (m/s^2): respect to sensor's frame
The project requirements are as follows:
Expected Accuracy Requirement:
- The estimation must be of high accuracy.
Data Set:
- I will provide the specific data set to be used for the script.
Deadline:
- There is a strict deadline for the completion of the script.
Ideal Skills and Experience:
- Proficiency in Python programming.
- Strong understanding of the Extended Kalman's Filter.
- Experience in working with IMU sensor data and estimation algorithms.
- Ability to deliver high accuracy results within strict deadlines.
Please include your relevant experience and sample work in your proposal.