Register (merge) components from different sources (LIDAR,Photo, OBJ)

Well, so I am wondering if there is any possibility beside control points to merge different components into each other. I am trying to do the following:

Load a laserscan pointcloud (with internal registration)

Add some drone photoshots (with GPS registration)

Add a solid textured object (OBJ) generated from an LIDAR-Scan app, however with no registration as it is a simple OBJ file.

Merge them all together into one solid object within RealityCapture for use in Unreal Engine.

What I do get for now is: A totally offset OBJ within 2 other components which also do not register together. 

What is the workflow for this? How can I align (register) the OBJ into the other pointclouds?  How can I align them all together? Is the only way to use control points? How do I properly use control points with an OBJ?

I have watched several tutorials but simply cannot figure out how to manually move around the imported OBJ within the other data on the grid. I also could not figure out how to generally position components within the “map”. (So meanwhile I guess there simply is no way for this)

What I am missing is a kind of a manual registration process or a pre-registration process where I point out a close match for one component to the other to the software and it then completes the registration once I gave it a close match hint for two components. This is typical within LIDAR-software where you roughly match the scans by hand and then it´s easy for the software to find all the connecting points. If I want to do so in RealityCapture with a randomly positioned imported OBJ there is simply no way I could find to make this work. If I am using the control points instead, the software only finds completely wrong matches because the basic positioning of the objects is totally out of space.

So what can I do?

Many thanks for a hint!

In the picture you can see the OBJ file (interiour of a house) in purple together with the photo-pointcloud. However it does not show the LIDAR-Pointcloud, which is also not correctly registered to the photo-pointcloud until now.