Patrik Persson
Papers
3
Total Citations
10
H-Index
3
About
Patrik Persson is a researcher at the forefront of indoor localization and embedded computer vision, with a focus on fusing heterogeneous sensor data for robust, real-world navigation. His most notable contribution is the creation of the LuViRA Dataset (Lund University Vision, Radio, and Audio), a synchronized multisensory resource that integrates color images, depth maps, IMU readings, and 5G massive MIMO channel responses. This dataset, cited in multiple recent works (2023–2024), addresses a critical gap in indoor positioning by enabling the fusion of vision, radio, and audio signals—a key challenge for autonomous systems and augmented reality. Persson also advances hardware-software co-design, as seen in his work on an application-specific VLIW vector processor for ORB feature extraction, a core component of SLAM (Simultaneous Localization and Mapping) in autonomous robots. By tailoring processor architectures to computer-vision algorithms, he bridges the gap between algorithmic efficiency and real-time performance. With early citations already accumulating, Persson’s work is shaping the next generation of resilient, multi-sensor localization systems—essential for robots, drones, and smart environments operating in GPS-denied spaces.
Research Focus
Key Achievements
Top Papers
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