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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]]

'''Position and orientation tracking''' ('''PnO tracking''') is tracking of an object's [[position and orientation]] (PnO) in space. It can be used to track display headsets and handheld input devices.

'''Position and orientation tracking''' ('''PnO tracking''') is tracking of an object's [[position and orientation]] (PnO) in space. It can be used to track display headsets and handheld input devices. It is also known as '''6DOF tracking''', for the 6 degrees of freedom (DOF), which are ways that an object can move: horizontally, vertically, depthwise, and three rotation movements: pitch, roll, and yaw.

It is used in devices like the [[Meta Quest 2]]. It is also known as '''6DOF tracking''', for the 6 degrees of freedom (DOF): horizontal, vertical, depthwise, pitch, roll, and yaw. It is used in an [[absolute positioning system]]. It can be done using a number of different hardware technologies, such as [[electromagnetic tracking]] or [[camera-based tracking]].

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]]. PnO tracking is related to rotation tracking, which uses [[3DOF]] of space.

Methods of camera-based tracking include methods using [[SLAM]] or [[VIO]].

It is used in devices like the [[Meta Quest 2]]. It is used in an [[absolute positioning system]]. Position can be represented in a computer system using a 3D vector. Rotation can be represented using a [[quaternion]].

 

Position can be represented in a computer system using a 3D vector. Rotation can be represented using a [[quaternion]].

 

PnO tracking is related to rotation tracking, which uses [[3DOF]] of space.

It can be done in theory using [[multilateration]] using lasers.<ref name="b754">{{cite journal | last=Nitsche | first=Jan | last2=Franke | first2=Matthias | last3=Haverkamp | first3=Nils | last4=Heißelmann | first4=Daniel | title=Six-degree-of-freedom pose estimation with µm/µrad accuracy based on laser multilateration | journal=Journal of Sensors and Sensor Systems | publisher=Copernicus GmbH | volume=10 | issue=1 | date=2021-02-19 | issn=2194-878X | doi=10.5194/jsss-10-19-2021 | doi-access=free | pages=19–24}}</ref>

It can be done in theory using [[multilateration]] using lasers.<ref name="b754">{{cite journal | last=Nitsche | first=Jan | last2=Franke | first2=Matthias | last3=Haverkamp | first3=Nils | last4=Heißelmann | first4=Daniel | title=Six-degree-of-freedom pose estimation with µm/µrad accuracy based on laser multilateration | journal=Journal of Sensors and Sensor Systems | publisher=Copernicus GmbH | volume=10 | issue=1 | date=2021-02-19 | issn=2194-878X | doi=10.5194/jsss-10-19-2021 | doi-access=free | pages=19–24}}</ref>