Silviu-Ioan Bejinariu
Papers
5
Total Citations
25
H-Index
4
About
Silviu-Ioan Bejinariu is a researcher whose work sits at the intersection of robotics, computer vision, and human-machine interaction. His key research areas include human activity recognition, autonomous system navigation, and 3D object pose computation. A major contribution is his pioneering work on an ontology of human walk, which provides a high-level representation of human displacement to enhance path planning and interaction for autonomous systems—a paper that has garnered 9 citations. He has also advanced human activity recognition using inertial data, a domain critical for applications in medicine, sport, surveillance, and human-robot interaction, with his 2021 paper receiving 5 citations. In robot vision, Bejinariu developed adaptive recognition methods for 2D polygonal objects and complex 3D pose computation techniques, enabling robots to determine object positions from single or multiple views—work that has accumulated 4 citations each. His contributions are particularly notable for bridging the gap between low-level sensor data and high-level semantic understanding, making autonomous systems more intelligent and responsive to human presence.
Research Focus
Key Achievements
Top Papers
- 1An ontology of human walk for autonomous systems9 citations · 2014
- 2Human Activity Recognition using Inertial Data5 citations · 2021
- 3Adaptive recognition method for 2D polygonal objects4 citations · 2011
- 4Robot Vision Application Based On Complex 3D Pose Computation4 citations · 2009
- 53D pose computation in robot vision applications3 citations · 2010