Direct methods refer to approaches in simultaneous localization and mapping (SLAM) that utilize explicit measurements of the environment to estimate the robot's position and build a map of its surroundings. These methods typically rely on data from sensors such as cameras or lidar, providing a straightforward relationship between sensor input and the resulting map and localization information. This direct correlation allows for more accurate and efficient processing of spatial information, making it a crucial aspect of modern robotic navigation systems.
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