Abstract
In this paper, we propose SolarSLAM, a batteryfree loop closure method for indoor localisation. Inertial Measurement Unit (IMU) based indoor localisation method has been widely used due to its ubiquity in mobile devices, such as mobile phones, smartwatches and wearable bands. However, it suffers from the unavoidable long term drift. To mitigate the localisation error, many loop closure solutions have been proposed using sophisticated sensors, such as cameras, laser, etc. Despite achieving high-precision localisation performance, these sensors consume a huge amount of energy. Different from those solutions, the proposed SolarSLAM takes advantage of an energy harvesting solar cell as a sensor and achieves effective battery-free loop closure method. The proposed method suggests the key-point dynamic time warping for detecting loops and uses robust simultaneous localisation and mapping (SLAM) as the optimiser to remove falsely recognised loop closures. Extensive evaluations in the real environments have been conducted to demonstrate the advantageous photocurrent characteristics for indoor localisation and good localisation accuracy of the proposed method.
Original language | English |
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Title of host publication | 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
Publisher | IEEE |
Pages | 4485-4490 |
Number of pages | 6 |
ISBN (Electronic) | 9781728162126 |
DOIs | |
Publication status | Published - 10 Feb 2021 |
Event | 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems - Las Vegas, United States Duration: 25 Oct 2020 → 29 Oct 2020 https://www.iros2020.org/ |
Conference
Conference | 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems |
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Abbreviated title | IROS 2020 |
Country/Territory | United States |
City | Las Vegas |
Period | 25/10/20 → 29/10/20 |
Internet address |
Keywords
- Indoor localisation
- SLAM
- Solar cell
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications