Christos Laoudias

Papers

Total Citations

H-Index

About

Christos Laoudias is a leading researcher at the intersection of autonomous systems, wireless communications, and localization technologies. His work primarily focuses on enabling intelligent navigation and positioning for unmanned aerial vehicles (UAVs) and connected vehicles. A major contribution is his perception-aware autonomous exploration framework for UAVs in Search and Rescue (SAR) missions, which integrates vision-based target detection and collision avoidance—a framework demonstrated through the ICUAS 2022 competition and cited 16 times for its practical impact on real-life drone deployments. In the domain of vehicular networks, Laoudias has advanced cooperative localization for connected and semi-autonomous vehicles by leveraging 5G infrastructure and sparse Laplacian processing, addressing critical challenges in robotics, optimization, and signal processing. His research bridges theoretical signal processing with real-world applications, earning recognition for its role in next-generation autonomous navigation. With a growing citation footprint, Laoudias’s work is essential reading for researchers in UAV autonomy, vehicular localization, and 5G-enabled systems, offering scalable solutions for safer, more efficient autonomous operations.