April 18, 2024, 4:45 a.m. | Ilayda Yaman, Guoda Tian, Martin Larsson, Patrik Persson, Michiel Sandra, Alexander D\"urr, Erik Tegler, Nikhil Challa, Henrik Garde, Fredrik Tufvesso

cs.CV updates on arXiv.org arxiv.org

arXiv:2302.05309v2 Announce Type: replace-cross
Abstract: We present a dataset to evaluate localization algorithms, which utilizes vision, audio, and radio sensors: the Lund University Vision, Radio, and Audio (LuViRA) Dataset. The dataset includes RGB images, corresponding depth maps, IMU readings, channel response between a massive MIMO channel sounder and a user equipment, audio recorded by 12 microphones, and 0.5 mm accurate 6DoF pose ground truth. We synchronize these sensors to make sure that all data are recorded simultaneously. A camera, speaker, …

abstract algorithms arxiv audio cs.cv cs.sd dataset eess.as eess.sp equipment images localization maps massive measurement radio sensors type university vision

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