4 citations · 8 across the 4 of their papers we have counts for
4 papers
Adaptive Attention-Based Model for 5G Radio-based Outdoor Localization
Ilayda Yaman, Guoda Tian, Dino Pjanic +4
Radio-based localization in dynamic environments, such as urban and vehicular settings, requires systems that efficiently adapt to varying signal conditions and environmental chang…
Achieving Distributed MIMO Performance with Repeater-Assisted Cellular Massive MIMO
Sara Willhammar, Hiroki Iimori, Joao Vieira +3
In what ways could cellular massive MIMO be improved? This technology has already been shown to bring huge performance gains. However, coverage holes and difficulties to transmit m…
LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization
Ilayda Yaman, Guoda Tian, Erik Tegler +7
We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms. We create the first baseline for the aforementioned sensors usin…
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
Ilayda Yaman, Guoda Tian, Martin Larsson +11
We present a synchronized multisensory dataset for accurate and robust indoor localization: the Lund University Vision, Radio, and Audio (LuViRA) Dataset. The dataset includes colo…