A Pedestrian Dead Reckoning System with Error Correction by Landmark Recognition

Due to the high demand of location-based services in buildings, various indoor positioning methods have been proposed. Among them, the Pedestrian Dead Reckoning (PDR) systems have received much attention because of the widespread deployment of smartphones and no requirement of infrastructure. In thi...

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Những tác giả chính: Nguyễn, Hữu Khánh, Lee, S. W.
Định dạng: Conference paper
Ngôn ngữ:English
Được phát hành: Springer Singapore 2023
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Truy cập trực tuyến:https://scholar.dlu.edu.vn/handle/123456789/2443
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spelling oai:scholar.dlu.edu.vn:123456789-24432023-06-09T07:04:11Z A Pedestrian Dead Reckoning System with Error Correction by Landmark Recognition Nguyễn, Hữu Khánh Lee, S. W. Indoor Positioning System Due to the high demand of location-based services in buildings, various indoor positioning methods have been proposed. Among them, the Pedestrian Dead Reckoning (PDR) systems have received much attention because of the widespread deployment of smartphones and no requirement of infrastructure. In this paper, we propose a PDR system to track a pedestrian holding a smartphone while he/she walks in a building. To eliminate the inevitable accumulated error over time, we suggest a method of using location related information from environments. We named it ‘landmark’, which is defined as a specific area (or point) where the pedestrian passes by in a building such as a stair, a door, a corner or a crossroad. If the system detects a landmark during the walking period, then it will correct the position of the user with the pre-defined position information of the landmark. In this work, we propose one kind of landmark called the door landmark. We have developed a method to detect the landmarks only using the sensors embedded in smartphones. The door landmark can be detected by combining the features from the magnetic sensor and user’s walking behavior. Via a set of experiments, we have evaluated the performances of the landmark detection and the position tracking of the system. 2023-06-05T08:48:12Z 2023-06-05T08:48:12Z 2018 Conference paper Bài báo đăng trên KYHT quốc tế (có ISBN) https://scholar.dlu.edu.vn/handle/123456789/2443 en Robot Intelligence Technology and Applications: 6th International Conference, RiTA 2018, Kuala Lumpur, Malaysia, December 16–18, 2018, Revised Selected Papers 6 Springer Singapore
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Indoor Positioning System
spellingShingle Indoor Positioning System
Nguyễn, Hữu Khánh
Lee, S. W.
A Pedestrian Dead Reckoning System with Error Correction by Landmark Recognition
description Due to the high demand of location-based services in buildings, various indoor positioning methods have been proposed. Among them, the Pedestrian Dead Reckoning (PDR) systems have received much attention because of the widespread deployment of smartphones and no requirement of infrastructure. In this paper, we propose a PDR system to track a pedestrian holding a smartphone while he/she walks in a building. To eliminate the inevitable accumulated error over time, we suggest a method of using location related information from environments. We named it ‘landmark’, which is defined as a specific area (or point) where the pedestrian passes by in a building such as a stair, a door, a corner or a crossroad. If the system detects a landmark during the walking period, then it will correct the position of the user with the pre-defined position information of the landmark. In this work, we propose one kind of landmark called the door landmark. We have developed a method to detect the landmarks only using the sensors embedded in smartphones. The door landmark can be detected by combining the features from the magnetic sensor and user’s walking behavior. Via a set of experiments, we have evaluated the performances of the landmark detection and the position tracking of the system.
format Conference paper
author Nguyễn, Hữu Khánh
Lee, S. W.
author_facet Nguyễn, Hữu Khánh
Lee, S. W.
author_sort Nguyễn, Hữu Khánh
title A Pedestrian Dead Reckoning System with Error Correction by Landmark Recognition
title_short A Pedestrian Dead Reckoning System with Error Correction by Landmark Recognition
title_full A Pedestrian Dead Reckoning System with Error Correction by Landmark Recognition
title_fullStr A Pedestrian Dead Reckoning System with Error Correction by Landmark Recognition
title_full_unstemmed A Pedestrian Dead Reckoning System with Error Correction by Landmark Recognition
title_sort pedestrian dead reckoning system with error correction by landmark recognition
publisher Springer Singapore
publishDate 2023
url https://scholar.dlu.edu.vn/handle/123456789/2443
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