Contact Tarafder Elmi Tabassum
Areas of expertise
- Autonomous Systems
- Sensor Technologies
- Vehicle Health Management
Background
Tarafder Elmi Tabassum is a researcher at Cranfield University focusing on computer vision, machine learning and sensor fusion. She is currently working as a part-time research assistant at Cranfield University where she is involved in developing sensor fusion algorithms for e-scoter localisation in urban canyons. She received a master’s degree from The University of Manchester. Her PhD research at Cranfield involves alternative navigation solutions using visual sensors for UAV navigation in degraded environments. Her work includes integrating Kalman filters (KF) and machine learning (ML) algorithms for multi-sensor systems, aiming to enhance robustness to ensure safe navigation under complex urban environments in the absence of global positioning satellite systems (GNSS).
Research opportunities
GNSS Navigation
Sesnor Fusion
Fault Mitigation
Machine Learning
Sensor Integrity Monitoring
Computer Vision
Clients
- European Space Agency
Publications
Articles In Journals
Conference Papers
- Villalonga Torres M, Elmi Tabassum T, Petrunin I & Tsourdos A. (2024). Hybrid multi-sensor navigation system with uncertainty correction for GNSS-denied environments
- Tabassum TE, Petrunin I & Rana ZA. (2024). Position uncertainty reduction in visualInertial navigation systems using multi-ML error compensation
- Tabassum TE, Petrunin I & Rana Z. (2022). Failure mode analysis (FMA) for visual-based navigation for UAVs in urban environment
- Tabassum TE, Petrunin I & Rana Z. (2022). A fault tolerant multi-sensor fusion navigation system for drone in urban environment
- Zaman HU, Tabassum TE, Islam T & Mohammad N. (2017). Low cost multi-level home security system for developing countries