Alexandra Carlson

Ford Motor Company (United States), University of Michigan–Ann Arbor

Papers

Total Citations

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About

Alexandra Carlson is a researcher working at the intersection of computer vision, neural scene representations, and human-machine perception. Her most recognized contribution, CLONeR (Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations), addresses a critical limitation in neural radiance fields (NeRFs): their tendency to fail in large, unbounded outdoor environments captured from sparse viewpoints. By fusing camera and LiDAR data with occupancy grid guidance, Carlson's work pushes the boundaries of 3D scene reconstruction for real-world applications such as autonomous driving — a paper that has garnered 23 citations since its 2023 publication. Her earlier work, "Towards Hallucinating Machines — Designing with Computational Vision" (2020, 18 citations), takes a thought-provoking interdisciplinary turn, drawing parallels between how deep neural networks and human brains process visual information, with implications for design and creative AI. This breadth — spanning rigorous sensor-fusion engineering and philosophical inquiry into machine perception — distinguishes Carlson as a versatile thinker whose research speaks to both technical and humanistic audiences. Her growing citation record reflects an emerging voice whose contributions to neural representations and visual AI are increasingly recognized across the research community.