The car industry is mostly focused on autonomous driving problems, and most of the publicly available datasets contain information only about one axis rotation. Usually, this is around the Y-axis (yaw angle), while the X-axis (roll angle) and Z-axis (pitch angle) are not considered at all or are always equal to zero. This approximation is sufficient to solve autonomous driving problems, but there are other fields of the car industry that require more than one axis orientation, one interesting example being parking occupancy. For parking occupancy, cameras that should detect cars and lines that represent the parking can be placed into different heights, or even from a birds-eye perspective, and all of those require all three dimensions of orientation to be known. That being said, there is a need for an analytical solution that will represent the full 3D orientation of the object, concretely a vehicle.