Direct Sparse Odometry

Direct Sparse Odometry (DSO) is a technique used in robotics and computer vision to help machines navigate and understand their surroundings. Unlike traditional methods that rely on dense visual data, DSO focuses on key points in a scene, using them for efficient tracking and mapping. It estimates the camera's movement and builds a sparse map of important features, enabling real-time application in environments like autonomous vehicles and drones. This efficient approach helps maintain accuracy while reducing computational load, making it suitable for devices with limited processing power.