Elena-Simona Lehan

Papers

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About

Elena-Simona Lehan is a researcher focused on advancing indoor positioning systems through automation and robotics. Her primary research area lies in Received Signal Strength (RSS) fingerprinting, a technique used to locate devices within indoor environments where GPS signals are weak or unavailable. Lehan’s major contribution is the development of an automatic data acquisition method using robotic platforms equipped with basic odometer sensors. This innovation addresses a critical bottleneck in indoor positioning: the labor-intensive and time-consuming process of manually collecting RSS data for fingerprinting. By deploying a robot to autonomously traverse university buildings and gather signal strength measurements, her work significantly enhances the efficiency and scalability of creating accurate indoor maps. Her most cited paper, "Automatic Data Acquisition with Robots for Indoor Fingerprinting" (2018), has garnered 5 citations, reflecting its foundational role in this niche but impactful field. This achievement underscores her ability to bridge robotics and wireless localization, offering a practical solution for smart building applications, navigation aids, and IoT environments. Lehan’s research is particularly valuable for students and engineers seeking to automate infrastructure-dependent positioning systems.