Construction and Application of Artificial Intelligence Crowdsourcing Map Based on Multi-Track GPS Data-Reference-Cited by-同舟云学术

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Construction and Application of Artificial Intelligence Crowdsourcing Map Based on Multi-Track GPS Data

Published:2024-03-01 Issue: Volume:33 Page:1425-1429
ISSN:
Container-title:2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE)
language:
Short-container-title:

Author:

Wang Yong¹,Zhou Yanlin²,Ji Huan³,He Zheng⁴,Shen Xinyu⁵

Affiliation:

1. Information Technology, University of Aberdeen,Aberdeen,United Kingdom

2. Johns Hopkins University,Computer Science,MD,USA

3. Trine University,Engineering Management,Sanjose,CA,95133

4. Columbia University,Applied Analytics,NY,USA

5. Columbia University,Biostatistics,TX,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548022/10548040/10548953.pdf?arnumber=10548953

Reference15 articles.

1. Crowd-sourced Semantic Edge Mapping for Autonomous Vehicles

2. Generative models for road network reconstruction

3. Mapping Rural Road Networks from Global Positioning System (GPS) Trajectories of Motorcycle Taxis in Sigomre Area, Siaya County, Kenya

4. Crowd-Sourced Mapping of New Feature Layer for High-Definition Map

5. Deep Learning for Precise Robot Position Prediction in Logistics

Cited by 1 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. Enhancing cloud-based large language model processing with Elasticsearch and transformer models;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

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