Simultaneous Localization and Mapping (SLAM) is a computational problem that involves constructing or updating a map of an unknown environment while simultaneously keeping track of the agent's location within that environment. This process is crucial for autonomous vehicles as it enables them to navigate through unfamiliar terrains by continuously mapping their surroundings and localizing themselves relative to that map.
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