Roland Perko

Joanneum Research, Institute of Geodesy and Cartography

Papers

Total Citations

H-Index

About

Roland Perko is a leading researcher in computer vision and autonomous navigation, with a primary focus on 6-Degrees-of-Freedom (6-DoF) pose estimation for AI-driven systems. His work bridges the critical gap between algorithm development and real-world deployment, particularly for robotics, autonomous driving, and unmanned aircraft systems (UAS). Perko’s most cited paper, "Automated Data Annotation for 6-DoF AI-Based Navigation Algorithm Development" (2021, 8 citations), introduces a novel framework for generating large-scale, high-quality annotated datasets—a fundamental bottleneck in training robust navigation models. This contribution has accelerated progress in vision-based navigation by enabling more efficient and accurate algorithm training. Additionally, his role in editing the "Proceedings of the Joint Austrian Computer Vision and Robotics Workshop 2020" (7 citations) underscores his leadership in fostering collaboration within the Austrian computer vision community. Perko’s impact lies in his ability to solve practical data challenges, making advanced navigation systems more accessible and reliable. His work continues to influence researchers and engineers developing autonomous technologies, ensuring that AI-based navigation moves from theory to dependable practice.