Robust ultra-wideband range error mitigation with deep learning at the edge

Author:

Angarano SimoneORCID,Mazzia VittorioORCID,Salvetti FrancescoORCID,Fantin GiovanniORCID,Chiaberge MarcelloORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference56 articles.

1. Local motion planner for autonomous navigation in vineyards with a RGB-D camera-based algorithm and deep learning synergy;Aghi;Machines,2020

2. Angarano, S., Salvetti, F., Mazzia, V., Fantin, G., Chiaberge, M., 2020. Deep UWB: A dataset for UWB ranging error mitigation in indoor environments, URL: https://zenodo.org/record/4290069#.X75qYc3-3Dc.

3. NLOS Classification based on RSS and ranging statistics obtained from low-cost UWB devices;Barral,2019

4. Improving indoor localization using convolutional neural networks on computationally restricted devices;Bregar;IEEE Access,2018

5. Improving indoor localization using convolutional neural networks on computationally restricted devices;Bregar;IEEE Access,2018

Cited by 34 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Resource-constrained edge-based deep learning for real-time person-identification using foot-pad;Engineering Applications of Artificial Intelligence;2024-12

2. Optimization of indoor vehicle ultra-wideband 3D localization using graph attention networks;Transactions of the Institute of Measurement and Control;2024-08-20

3. Self-Attention-Assisted TinyML With Effective Representation for UWB NLOS Identification;IEEE Internet of Things Journal;2024-08-01

4. Multipath-Assisted Single-Anchor Localization via Deep Variational Learning;IEEE Transactions on Wireless Communications;2024-08

5. Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3