Wahyono Wahyono

University of Ulsan, Intelligent Systems Research (United States)

Papers

Total Citations

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About

Wahyono Wahyono is a researcher focused on computer vision and robotics, with key contributions in 3D reconstruction and mobile robot perception. His work addresses fundamental challenges in enabling machines to understand and navigate dynamic environments. Notably, his 2013 paper on "A geometry-based 3D reconstruction from a single omnidirectional image" proposes a novel method for recovering real-scale 3D scenes from a single omnidirectional image, overcoming the limitations of prior scale-model approaches. This advancement has practical implications for applications requiring accurate spatial measurements, such as autonomous navigation and augmented reality. His 2014 work on "Ego-Motion Compensated for Moving Object Detection in a Mobile Robot" tackles the critical problem of distinguishing moving objects from camera-induced motion, enhancing robot situational awareness. With each paper garnering 5 citations, Wahyono's research demonstrates focused impact within specialized domains. His contributions bridge theoretical geometry with real-world robotics applications, offering valuable insights for students and researchers working on 3D vision, motion analysis, and autonomous systems.