Guoda Tian
Papers
2
Total Citations
7
H-Index
2
About
Guoda Tian is a researcher at Lund University whose work centers on indoor localization through the innovative fusion of vision, radio, and audio sensors. Their major contribution is the creation of the LuViRA Dataset, a synchronized multisensory resource that combines color images, depth maps, inertial measurement unit (IMU) readings, and 5G massive MIMO channel responses. This dataset, first published in 2023 and updated in 2024, addresses a critical challenge in robotics and autonomous systems: achieving accurate and robust positioning in environments where GPS fails. With over 7 citations across its two versions, the LuViRA Dataset has quickly become a valuable benchmark for researchers developing multi-modal localization algorithms. By providing a comprehensive, time-aligned collection of complementary sensor data, Tian has enabled the community to explore how deep learning and sensor fusion can overcome the limitations of individual modalities. This work is particularly notable for its practical relevance to 5G-enabled applications, from smart factories to augmented reality, positioning Tian as a key contributor to the next generation of perceptually aware systems.
Research Focus
Key Achievements
Top Papers
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- 2