Visual-SLAM | Autonomous navigation of small UAS | Robotics library

In the Visual SLAM area, there's the well-known solution of EKF/UKF/Particle-SLAM , like the "mono-slam".

Recently , there was a direction to Local Bundle Adjustment methods , like lsd-slam or orb-slam ..

My question is :

Do the filtering ways still have a future or steady usage? in what applications? what are the pros/cons?

I read these papers but, I failed to extract a final answer,(mostly out of misunderstanding):

1. Visual SLAM: why filter?

2. Past, Present, and Future of Simultaneous Localization and Mapping

P. S.: I know the first is saying that Local BA is better somehow, and the second rarely mentioned filtering, so.., that's it.. , is it the end of the awesome Kalman filter in Visual-SLAM area?!!