Derlis Gregor
Papers
2
Total Citations
27
H-Index
2
About
Derlis Gregor is a researcher at the forefront of computer vision and autonomous robotics, with a particular focus on enhancing the perception and navigation capabilities of unmanned systems. His work is centered on developing sophisticated algorithms for stereo vision and path planning, addressing critical challenges in dynamic and unstructured environments. Gregor’s most impactful contribution is his 2021 paper on an edge-aware, adaptive multi-feature set extraction for stereo matching in binocular images, which has garnered 23 citations. This work advances the field by improving depth perception accuracy, a fundamental requirement for autonomous navigation and 3D reconstruction. In the domain of robotics, he has also developed a specialized simulator for studying the path planning of Autonomous Surface Vehicles (ASVs) in lake environments. This tool is vital for testing local path planning algorithms that enable ASVs to navigate safely and efficiently amidst changing conditions. Through these contributions, Gregor is helping to bridge the gap between theoretical computer vision and practical, real-world robotic applications, making him a notable figure in the development of intelligent, autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2