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Computer vision
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=== Autonomous vehicles === [[File:Mars Science Laboratory, 2011-Present.jpg|thumb|Artist's concept of ''[[Curiosity (rover)|Curiosity]]'', an example of an uncrewed land-based vehicle. The [[stereo camera]] is mounted on top of the rover.|alt=]] One of the newer application areas is autonomous vehicles, which include [[submersible]]s, land-based vehicles (small robots with wheels, cars, or trucks), aerial vehicles, and unmanned aerial vehicles ([[Unmanned aerial vehicle|UAV]]). The level of autonomy ranges from fully autonomous (unmanned) vehicles to vehicles where computer-vision-based systems support a driver or a pilot in various situations. Fully autonomous vehicles typically use computer vision for navigation, e.g., for knowing where they are or mapping their environment ([[Simultaneous localization and mapping|SLAM]]), for detecting obstacles. It can also be used for detecting certain task-specific events, ''e.g.'', a UAV looking for forest fires. Examples of supporting systems are obstacle warning systems in cars, cameras and LiDAR sensors in vehicles, and systems for autonomous landing of aircraft. Several car manufacturers have demonstrated systems for [[Driverless car|autonomous driving of cars]]. There are ample examples of military autonomous vehicles ranging from advanced missiles to UAVs for recon missions or missile guidance. Space exploration is already being made with autonomous vehicles using computer vision, ''e.g.'', [[NASA]]'s ''[[Curiosity (rover)|Curiosity]]'' and [[China National Space Administration|CNSA]]'s ''[[Yutu-2]]'' rover.
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