Uetin Mericli

Papers

Total Citations

H-Index

About

Dr. Uetin Mericli is a leading researcher in autonomous robotics, with a primary focus on off-road perception, simulation, and state estimation. His most impactful work centers on bridging the gap between simulated and real-world environments for large-scale robot deployment. In his highly cited 2018 paper, "Off-Road Lidar Simulation with Data-Driven Terrain Primitives," Dr. Mericli introduced a novel approach to high-fidelity Lidar simulation using data-driven terrain models. This contribution directly addresses the prohibitive cost and logistical challenges of field testing, enabling faster and more rigorous development of perception algorithms for autonomous vehicles operating in unstructured, off-road settings. By creating sensor-realistic virtual environments, his work has significantly accelerated the iterative design cycle for robotic systems. With 12 citations on this key publication, Dr. Mericli’s research is recognized for its practical impact on the robotics community, providing essential tools for researchers and engineers striving to deploy robust autonomous systems beyond paved roads.