Erik Tegler
Papers
2
Total Citations
7
H-Index
2
About
Erik Tegler is a researcher at Lund University whose work centers on indoor localization through the fusion of vision, radio, and audio sensors. His primary contribution is the creation of the LuViRA Dataset (Lund University Vision, Radio, and Audio), a synchronized multisensory resource that combines color images, depth maps, inertial measurement unit (IMU) readings, and 5G massive MIMO channel responses. This dataset, detailed in his most-cited papers from 2023 and 2024, addresses the critical challenge of achieving accurate and robust positioning in environments where GPS fails, such as indoors. By providing a comprehensive, time-aligned collection of heterogeneous sensor data, Tegler enables researchers to develop and benchmark algorithms that leverage complementary modalities—visual, radio, and acoustic—for enhanced localization. Though his work is early in its citation trajectory, with 4 and 3 citations respectively, the LuViRA Dataset represents a foundational resource for the growing field of multisensory fusion in 5G-enabled systems. Tegler’s efforts are particularly notable for bridging the gap between theoretical sensor integration and practical deployment, offering a standardized testbed that advances both academic research and real-world applications in autonomous navigation and smart environments.
Research Focus
Key Achievements
Top Papers
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- 2