Data Pre-processing Based on Convolutional Neural Network for Improving Precision of Indoor Positioning

Eric Hsueh Chan Lu, Kuei Hua Chang, Jing Mei Ciou

研究成果: Conference contribution

摘要

In the past, indoor positioning technology was mainly based on pedestrian dead reckoning and wireless signal positioning methods, but it was easy to cause some problems such as error accumulation and signal interference. Positioning accuracy still needs to be improved. With the development of neural networks in recent years, many researchers have successfully applied the neural network to the indoor positioning problem based on the Convolutional Neural Network (CNN). This technique mainly determines the position of the image by matching the image features. CNN faces the same challenges as other supervised learning. If the “clean” data cannot be collected, the trained model will not achieve good positioning accuracy. For CNN used for indoor positioning, if someone passes through in the training data, causing the person to appear in different positions of the images, the model may think that the images are the same location. To solve this problem, we propose a data pre-processing method to improve the accuracy of indoor positioning based on CNN. In this method, the moving objects recognized in training and testing data are modified in different ways. We perform data pre-processing method based on Mask R-CNN and YOLO, and then integrate the pre-processing method to PoseNet the famous CNN indoor positioning architecture. Through real experimental analysis, removing moving objects can effectively improve indoor positioning accuracy about 46%.

原文English
主出版物標題Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings
編輯Ngoc Thanh Nguyen, Bogdan Trawinski, Kietikul Jearanaitanakij, Suphamit Chittayasothorn, Ali Selamat
發行者Springer
頁面545-552
頁數8
ISBN(列印)9783030419639
DOIs
出版狀態Published - 2020 一月 1
事件12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020 - Phuket, Thailand
持續時間: 2020 三月 232020 三月 26

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12033 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020
國家Thailand
城市Phuket
期間20-03-2320-03-26

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • 引用此

    Lu, E. H. C., Chang, K. H., & Ciou, J. M. (2020). Data Pre-processing Based on Convolutional Neural Network for Improving Precision of Indoor Positioning. 於 N. T. Nguyen, B. Trawinski, K. Jearanaitanakij, S. Chittayasothorn, & A. Selamat (編輯), Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings (頁 545-552). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 12033 LNAI). Springer. https://doi.org/10.1007/978-3-030-41964-6_47