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State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).

Python 100.00%
sensor-fusion ekf-localization

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imu-gnss-lidar-sensor-fusion-using-extended-kalman-filter-for-state-estimation's Issues

Help needed to test the package

Hello diegoavillegasg,

Thanks for your contribution, If you could provide simple steps regarding, how to use this package will help greatly for the users. It's my kind request you.

Regards,
Ajay

How to integrate this module with real system.

@diegoavillegasg Thanks for the very useful source scripts with detailed comments.
I have a few quick questions regarding, data types of LiDAR and GPS IMU sensor used in this pickle file. In the comment description, it is mentioned that, actual data but unable to get the actual data types to input into the method.

Could you kindly provide me little more details about IMU,GNSS and LIDAR data input in raw data formats.

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