CNN-Based Real-Time Walking Direction Estimation for Pedestrian Navigation Scenarios-Reference-Cited by-同舟云学术

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CNN-Based Real-Time Walking Direction Estimation for Pedestrian Navigation Scenarios

Published:2024-01-01 Issue:1 Volume:24 Page:1042-1050
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Lee Eunji¹^ORCID,Park Kyoung-Min²^ORCID,Lee Byeong-Ho²,Kim Seong-Cheol¹^ORCID,Choi Jeongsik³^ORCID

Affiliation:

1. Department of Electrical Engineering and the Institute of New Media and Communications, Seoul National University, Seoul, South Korea

2. Samsung Research, Samsung Electronics, Seoul, South Korea

3. School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea

Funder

Ministry of Science and ICT, South Korea

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10378722/10325431.pdf?arnumber=10325431

Reference38 articles.

1. A Survey of Indoor Localization Systems and Technologies

2. The IPIN 2019 Indoor Localisation Competition—Description and Results

3. A review of smartphones‐based indoor positioning: Challenges and applications

4. Indoor Localization with Smartphones: Harnessing the Sensor Suite in Your Pocket

5. MEMS inertial sensors: A tutorial overview

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