Visual Odometry is a technique used in robotics and computer vision to estimate the position and orientation of a camera as it moves through an environment. It relies on analyzing sequential images captured by the camera to detect and track features in the scene. By comparing these features over time, the system can calculate the camera's movement and create a map of the surroundings. This method is particularly useful in situations where GPS signals are weak or unavailable, such as indoors or in dense urban areas. Visual Odometry is commonly employed in autonomous vehicles, drones, and mobile robots to navigate and understand their environment effectively.