Visual Odometry (VO) is a technique that estimates a camera’s motion (position and orientation) over time using consecutive images from a single or stereo camera. By tracking features between frames and computing transformations, VO provides incremental pose estimates, serving as a core component of SLAM systems. It is widely used in robotics, AR, and autonomous vehicles to enable motion tracking without relying on GPS.
