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[[File:PnO tracking of a robot.png|thumb|Position and orientation tracking using lasers]]

[[File:PnO tracking of a robot.png|thumb|Position and orientation tracking using lasers]]

[[File:Worldsense positional tracking.png|thumb|Figure 1. WorldSense positional tracking. (Image: UploadVR)]]

[[File:Worldsense positional tracking.png|thumb|Figure 1. WorldSense positional tracking. (Image: UploadVR)]]

'''Positional tracking''', also known as 6DOF tracking and position and orientation tracking (PnO tracking), is tracking of an object's [[position and orientation]] in 3D space. It can be used to track headsets and handheld devices. It is useful for providing position and orientation data to apps so that they can render the virtual camera and objects in the right places. It is used in devices like the [[Meta Quest 2]].

'''Positional tracking''', also known as 6DOF tracking and position and orientation tracking (PnO tracking), is tracking of an object's [[position and orientation]] in 3D space. It can be used to track headsets and handheld devices. It is useful for providing position and orientation data to apps so that they can render the virtual camera and objects in the right places. It is used in devices like the [[Meta Quest 2]]. It is also known as 3D tracking, for three dimensions of classical space that objects are tracked in.

It can be done using a number of different hardware technologies, such as [[electromagnetic tracking]] or [[camera-based tracking]]. Methods of camera-based tracking include methods using [[SLAM]] or [[VIO]]. Electromagnetic tracking is faster and typically more precise, but has interference problems. Camera-based tracking is slower, more expensive to implement, but is more reliable in a variety of environments, and may not need an external tracking system.

It can be done using a number of different hardware technologies, such as [[electromagnetic tracking]] or [[camera-based tracking]]. Methods of camera-based tracking include methods using [[SLAM]] or [[VIO]]. Electromagnetic tracking is faster and typically more precise, but has interference problems. Camera-based tracking is slower, more expensive to implement, but is more reliable in a variety of environments, and may not need an external tracking system.