Multi-layered artificial reality controller pose tracking architecture having prioritized motion models

An artificial reality system is described includes a hand-held controller tracking sub-system having two components, a Field-of-View (FOV) tracker and a non-FOV tracker that applies specialized motion models when one or more of controllers are not trackable within the field of view. In particular, under typical operating conditions, the FOV tracker receives state data for a Head Mounted Display (HMD) and controller state data (velocity, acceleration etc.) of a controller to compute estimated poses for the controller. If the controller is trackable (e.g., within the field of view and not occluded), then the pose as computed by the FOV tracker is used and the non-FOV tracker is bypassed. If the controller is not trackable within the field of view and the controller state data meets activation conditions for one or more corner tracking cases, then the non-FOV tracker applies one or more of specialized motion models to compute a controller pose for the controller.