B. Michaelis

University Hospital Magdeburg, Otto-von-Guericke University Magdeburg

Papers

Total Citations

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About

B. Michaelis is a researcher whose work centers on computer vision, autonomous systems, and real-time sensor processing, with a particular focus on stereo vision and depth perception for robotics and driver assistance applications. His research addresses one of the most fundamental challenges in autonomous navigation: enabling machines to perceive and interpret their three-dimensional environment accurately and instantaneously. Michaelis's most notable contributions involve the development of hardware-software co-design approaches for stereophotogrammetric systems. His 2005 paper on real-time vehicle and lane detection using embedded hardware, which has garnered 21 citations, demonstrated how depth maps could be efficiently generated to support autonomous decision-making in vehicles and robots. Building on this, his 2004 work on 3-D multi-object position estimation and tracking further advanced real-time environmental sensing capabilities. His later 2012 contribution explored fast computation of dense and reliable depth maps, reflecting the field's growing demand for richer, more accurate spatial data. Collectively, his publications highlight a sustained commitment to bridging algorithmic innovation with practical hardware implementation, making autonomous perception systems faster, more reliable, and deployable in real-world scenarios.