Mohammad Karimi

Iran University of Science and Technology

Papers

Total Citations

H-Index

About

Mohammad Karimi is a leading researcher in navigation and positioning systems, with a focus on integrating Global Positioning System (GPS) with visual-inertial odometry (VIO) to enhance accuracy in challenging environments. His most-cited work, "GPS/VIO integrated navigation system based on factor graph and fuzzy logic" (2024, 8 citations), addresses a critical limitation of GPS-dependent systems—signal degradation in urban canyons or indoor settings. By combining factor graph optimization with fuzzy logic, Karimi’s approach improves robustness and precision for applications in robotics and autonomous vehicles. This contribution is particularly notable for its practical adaptability, offering a solution that maintains reliability when GPS signals are weak or intermittent. Though his citation count is still growing, Karimi’s work is gaining traction among engineers and researchers seeking to push the boundaries of sensor fusion and real-time navigation. His research bridges theoretical advances in probabilistic modeling with real-world deployment challenges, making him a promising voice in the field of integrated navigation systems.