Fine-grained Stop-Move Detection in UWB-based Trajectories
Author:
Affiliation:
1. University of Milano (Italy)
2. University of Trento (Italy)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9762374/9762351/09762404.pdf?arnumber=9762404
Reference28 articles.
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5. TALLA: Large-scale TDoA Localization with Ultra-wideband Radios
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1. Stop@: A framework for scalable and noise-resistant stop-move segmentation of large datasets of trajectories in outdoor and indoor spaces;SoftwareX;2024-09
2. ICE: A Low-Cost IoT Platform Targeting Real-Time Anonymous Visitors Flow Tracking at Museums;2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE);2023-06-19
3. Self-Localization of Ultra-Wideband Anchors: From Theory to Practice;IEEE Access;2023
4. Pedestrian Dead Reckoning for Multiple Walking Styles Using Classifier-Based Step Detection;IEEE Journal of Indoor and Seamless Positioning and Navigation;2023
5. Human Occlusion in Ultra-wideband Ranging: What Can the Radio Do for You?;2022 18th International Conference on Mobility, Sensing and Networking (MSN);2022-12
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