The “Accurate Geolocation and Orientation” assumes that there is very high accuracy IMU data (coordinates + omega, phi, kappa angles). It will rely more on these to do the image calibrations, if these are not accurate the calibration will fail in the majority of cases. A typical example where this would be used, would be for planes with a high quality IMU and camera.
As for the Alternative, it is mostly recommended for nadir projects for flat terrains that have low texture content such as agricultural fields. That’s probably where you had most success with this calibration method @Selim.
More about the calibration methods in this article:
As for the initial question about matching parameters, usually the “Accurate Geolocation and Orientation” is combined with the “Aerial grid or corridor” matching options.