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In this work, we propose LSFB, a novel low-cost and scalable frame- work to build localization benchmark in large-scale environments with groundtruth poses. The ...
We propose LSFB, a novel low-cost and scalable frame-work to build localization benchmark in large-scale environments with groundtruth poses.
Aug 17, 2023 · In this work, we propose LSFB, a novel low-cost and scalable framework to build localization benchmark in large-scale indoor and outdoor environments.
In this work, we propose LSFB, a novel low-cost and scalable framework to build localization benchmark in large-scale indoor and outdoor environments. The ...
Dec 9, 2024 · We use the proposed method to collect a localization dataset by mobile phones and AR glasses in various environments with various motions, and ...
In this work, we propose LSFB, a novel low-cost and scalable framework to build localization benchmark in large-scale indoor and outdoor environments. The key ...
LSFB: A low-cost and scalable framework for building large-scale localization benchmark. H Liu, M Jiang, Z Zhang, X Huang, L Zhao, M Hang, Y Feng, H Bao ...
Sep 21, 2024 · LSFB: A Low-cost and Scalable Framework for Building Large-Scale Localization Benchmark. ISMAR Adjunct 2020: 219-224. [+][–]. 2010 – 2019. FAQ.
LSFB: A Low-cost and Scalable Framework for Building Large-Scale Localization Benchmark. 2020 IEEE International Symposium on Mixed and Augmented Reality ...
In this work, we propose LSFB, a novel low-cost and scalable framework to build localization benchmark in large-scale indoor and outdoor environments. The key ...