Patrik Persson

Lund University

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

3
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
4 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Lund University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago