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This article discusses the recent advancements in photogrammetry, a methodology used to derive 3D information from imagery. With the inclusion of computer vision and robotics solutions, the process has become more automated and efficient. The emergence of artificial intelligence, specifically machine and deep learning, has further revolutionized the mapping and 3D documentation sector. This Special Issue seeks high-quality papers that explore the potential of AI in photogrammetric problems, with a focus on supporting, integrating, and boosting key areas of photogrammetry.