Oleg Naroditsky

Papers

Total Citations

113

H-Index

About

Oleg Naroditsky is a leading researcher in computer vision and robotics, whose work has fundamentally advanced autonomous navigation in GPS-denied environments. His primary research areas include visual odometry, simultaneous localization and mapping (SLAM), and bearing-based sensor network localization. Naroditsky’s most impactful contribution is his 2011 paper on visual odometry, which introduced two efficient solutions to the relative pose problem using three image point correspondences and a single reference direction—a breakthrough that has garnered 77 citations and offers a powerful alternative to the classic five-point algorithm. His 2012 work on identifying maximal rigid components in bearing-based localization (19 citations) provides critical theoretical foundations for camera networks where depth data is unavailable. Additionally, his development of the VideoTrek vision system (2009) and robust visual path following algorithms (2010) enabled reliable multi-camera navigation for heterogeneous mobile platforms, including the innovative “tag-along” robot concept. With a total of over 110 citations across his most-cited works, Naroditsky has established himself as a key figure in vision-based robotics, bridging theoretical geometry with practical, real-world deployment in challenging environments.