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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yoshimi, Shun Murao, Kazuya Nishio, Nobuhiko Kanagu, Kohei Mochizuki, Masahiro |
| Abstract | Pedestrian Dead Reckoning (PDR) has recently attracted attention of researchers. PDR refers to indoor positioning technology that uses the acceleration sensor and gyroscope from a smartphone for relative positioning. However, the positioning results are often degraded, owing to the accumulation of errors such as estimation errors and those incurred by the limited resolution of the sensors. One of the remedies for this problem is a map-matching technique that corrects the current position using pedestrian-space network data, where pathways are represented as a network of links. However, as a correction method, the map-matching technique is limited insofar as it ignores certain features to the users trajectory when automatically mapping the current position onto a link. The trajectory can be used to navigate a user walking along a pathway by providing directions, such as "your destination is on the opposite side of the pathway," depending on the current position of the user. In this study, we propose a method for correcting the crude PDR trajectory to a more likely trajectory by introducing pedestrian-space constraints and adding information about walls and barriers to the link information used by the conventional map-matching technique. We conducted an evaluation of the proposed method at the Umeda underground mall in Osaka, Japan. As a result, we demonstrate that the average positioning error was reduced by up to 60% with the proposed method. Moreover, we confirmed that the shape of actual trajectory remain in the corrected trajectory, and that the proposed method is practical for improving the accuracy of PDR positioning. |
| Starting Page | 1499 |
| Ending Page | 1508 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450335751 |
| DOI | 10.1145/2800835.2807949 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-09-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Indoor navigation Map matching Trajectory Pdr |
| Content Type | Text |
| Resource Type | Article |
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