Papers
7
Total Citations
95
H-Index
4
About
Dan Ionescu is a versatile researcher whose work spans computer vision, robotics, indoor positioning, and smart manufacturing systems. Over three decades of active scholarship, he has made sustained contributions to the challenge of bridging the physical and digital worlds — from recovering three-dimensional object models from two-dimensional images using structured light, a 2004 paper that earned 54 citations and remains his most influential work, to pioneering 3D reconstruction techniques using uncalibrated stereo pairs as early as 1996. His research into indoor positional tracking via dual-axis rotating laser sweeps demonstrated practical advances in six-degrees-of-freedom localization for robotics, virtual reality, and drone navigation. More recently, Ionescu has embraced the Industry 4.0 and 5.0 paradigm, producing work on IoT-Cloud integration, Digital Twin technology, PLC-driven inverse kinematics, and SCADA-based remote control of flexible robotic cells — reflecting a forward-looking engagement with cyber-physical systems and intelligent manufacturing. His early multisensor mobile robot navigation research foreshadowed these themes, underscoring a remarkably consistent intellectual thread. With publications spanning foundational computer vision to cutting-edge industrial automation, Ionescu represents a researcher whose career mirrors the evolution of intelligent robotics itself.
Research Focus
Key Achievements
Top Papers
- 13D object model recovery from 2D images using structured light54 citations · 2004
- 2Indoor positional tracking using dual-axis rotating laser sweeps18 citations · 2016
- 3
- 43D reconstruction using an uncalibrated stereo pair of encoded images5 citations · 1996
- 5
- 6Multisensor system for mobile robot navigation3 citations · 1996
- 7