Feasibility study of 5G-based localization for assisted driving-Reference-Cited by-同舟云学术

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Feasibility study of 5G-based localization for assisted driving

Published:2016-06 Issue: Volume: Page:
ISSN:
Container-title:2016 International Conference on Localization and GNSS (ICL-GNSS)
language:
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Author:

del Peral-Rosado Jose A.,Lopez-Salcedo Jose A.,Sunwoo Kim ,Seco-Granados Gonzalo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7527551/7533680/07533837.pdf?arnumber=7533837

Cited by 36 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. Graph-Based vs. Error State Kalman Filter-Based Fusion of 5G and Inertial Data for MAV Indoor Pose Estimation;Journal of Intelligent & Robotic Systems;2024-06-07

2. A Robust Evolutionary Particle Filter Technique for Integrated Navigation in Urban Environments via GNSS and 5G Signals;IEEE Transactions on Industrial Informatics;2024-04

3. Indoor Localization of User Equipment in a 5G Ecosystem using a Hybrid Approach;2023 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS);2023-12-12

4. Pose Graph Optimization for a MAV Indoor Localization Fusing 5GNR TOA with an IMU;2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN);2023-09-25

5. Large-Scale Cellular Vehicle-to-Everything Deployments Based on 5G—Critical Challenges, Solutions, and Vision towards 6G: A Survey;Sensors;2023-08-08

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