Coverage decreased (-0.2%) to 19.46% when pulling 180ab8d87ed15537b5b9b2f8497eb3adbe6c5f30 on sriniv27:master into 605ac5bce713b291735e5985495d567a6486a8c7 on dronecrew:master.
Coverage decreased (-0.2%) to 19.46% when pulling d0f2701f578e25367f8f8e8e326c054c7c3de5da on sriniv27:master into 605ac5bce713b291735e5985495d567a6486a8c7 on dronecrew:master.
Coverage increased (+11.07%) to 30.708% when pulling 7a76b6113312c70c018c1cde695b5b55cbc1b597 on sriniv27:master into 605ac5bce713b291735e5985495d567a6486a8c7 on dronecrew:master.
Coverage increased (+11.07%) to 30.708% when pulling 44946388445e29d459c91c9a87a830c66a74045e on sriniv27:master into 605ac5bce713b291735e5985495d567a6486a8c7 on dronecrew:master.
Coverage increased (+11.1%) to 30.78% when pulling eb994dd850e37159c594a6b696ae3b58732d4e3f on sriniv27:master into 605ac5bce713b291735e5985495d567a6486a8c7 on dronecrew:master.
PR for a single method to read IEKF data from the ulog file, collect covariances for each time-step and generate P for all those time-steps
Usage:
P_list = px4tools.ulog.extract_P(df, msg_name='t_estimator_status_0__f_covariances_',num_states=28)