Farhad Ghanipoor
Papers
1
Total Citations
11
H-Index
1
About
Farhad Ghanipoor is a researcher specializing in marine robotics, sensor fusion, and state estimation, with a particular focus on autonomous underwater and surface vehicles. His most-cited work, "Model identification of a Marine robot in presence of IMU-DVL misalignment using TUKF" (2020, 11 citations), addresses a critical challenge in underwater navigation: the accurate alignment of inertial measurement units (IMUs) and Doppler velocity logs (DVLs). By employing a Tilted Unscented Kalman Filter (TUKF), Ghanipoor developed a robust method to correct sensor misalignment, significantly improving the reliability of vehicle localization in complex marine environments. This contribution is vital for enhancing the autonomy and precision of marine robots used in oceanographic surveys, search-and-rescue missions, and offshore infrastructure inspection. His work bridges theoretical advances in nonlinear filtering with practical applications, making him a notable figure in the field of marine robotics. Ghanipoor’s research continues to influence the development of more resilient navigation systems, ensuring that autonomous marine platforms can operate effectively even under challenging sensor conditions.
Research Focus
Key Achievements
Top Papers
- 1