Khaoula Mannay

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About

Khaoula Mannay’s research advances the precision and reliability of indoor positioning systems, a critical enabler for location-based services in GNSS-denied environments. Her work centers on ultrasonic local positioning, sensor fusion, and 3D measurement techniques. In her most-cited paper, “Evaluation of Multi-Sensor Fusion Methods for Ultrasonic Indoor Positioning” (2021, 18 citations), she systematically assessed how combining data from multiple sensors can overcome the limitations of single-modality systems, improving accuracy for robots, drones, and smartphones. Her earlier study, “Characterization of an Ultrasonic Local Positioning System for 3D Measurements” (2020, 14 citations), provided foundational insights into system calibration and performance in constrained indoor and outdoor settings. Together, these contributions have helped shape robust, scalable solutions for real-time tracking where GPS signals fail. Mannay’s impact is evident in the growing adoption of her methodologies, which balance cost, complexity, and precision. Her work is particularly notable for bridging theoretical sensor fusion models with practical deployment challenges, making her a key voice in the evolution of indoor navigation technologies.