42 citations · 45 across the 7 of their papers we have counts for
7 papers
Adaptive Learned State Estimation based on KalmanNet
Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag +2
Hybrid state estimators that combine model-based Kalman filtering with learned components have shown promise on simulated data, yet their performance on real-world automotive data…
Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet
Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag +1
Kalman Filters (KF) are fundamental to real-time state estimation applications, including radar-based tracking systems used in modern driver assistance and safety technologies. In…
Uncertainty-Aware Shape Estimation of a Surgical Continuum Manipulator in Constrained Environments using Fiber Bragg Grating Sensors
Alexander Schwarz, Arian Mehrfard, Golchehr Amirkhani +5
Continuum Dexterous Manipulators (CDMs) are well-suited tools for minimally invasive surgery due to their inherent dexterity and reachability. Nonetheless, their flexible structure…
Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy
Javad Fotouhi, Arian Mehrfard, Tianyu Song +5
Suboptimal interaction with patient data and challenges in mastering 3D anatomy based on ill-posed 2D interventional images are essential concerns in image-guided therapies. Augmen…
On the Effectiveness of Virtual Reality-based Training for Robotic Setup
Arian Mehrfard, Javad Fotouhi, Tess Forster +5
Virtual Reality (VR) is rapidly increasing in popularity as a teaching tool. It allows for the creation of a highly immersive, three-dimensional virtual environment intended to sim…
A Comparative Analysis of Virtual Reality Head-Mounted Display Systems
Arian Mehrfard, Javad Fotouhi, Giacomo Taylor +3
With recent advances of Virtual Reality (VR) technology, the deployment of such will dramatically increase in non-entertainment environments, such as professional education and tra…
Reflective-AR Display: An Interaction Methodology for Virtual-Real Alignment in Medical Robotics
Javad Fotouhi, Tianyu Song, Arian Mehrfard +8
Robot-assisted minimally invasive surgery has shown to improve patient outcomes, as well as reduce complications and recovery time for several clinical applications. While increasi…