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About

Oleg Starostenko is a prominent researcher specializing in computer vision, robotics, and autonomous navigation systems, whose work has made significant contributions to the field of 3D sensing and mobile robot guidance. His most influential research centers on the development of optical laser measurement systems for autonomous robot navigation, with his 2013 paper on this topic accumulating 128 citations and establishing him as a key figure in the domain. Starostenko's foundational contributions include pioneering the dynamic triangulation method, a technique he refined across multiple publications between 2009 and 2013. His systems address critical real-time navigation challenges — detecting obstacles, determining their spatial position, and generating digital environmental maps — using low-cost, non-contact laser scanning approaches. His innovative design employs synchronized rotating laser emitters and optical scanners, enabling practical 3D surface reconstruction for mobile platforms. Beyond robotics, Starostenko has explored image processing techniques, including compression algorithms combining Huffman coding with bit extraction methods. With a cumulative citation count exceeding 190 across his most notable works, his research represents a sustained effort to bridge theoretical vision methodologies with practical autonomous systems, making his publications valuable reading for students and engineers working at the intersection of robotics, sensing, and computer vision.