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Multi-Source Trajectory Fingerprint with 5G and Magnetic Field
- Citation Author(s):
- Submitted by:
- Hu Xing
- Last updated:
- Tue, 12/24/2024 - 09:16
- DOI:
- 10.21227/wxyf-8688
- Data Format:
- License:
15 Views- Categories:
- Keywords:
Abstract
The data was collected by a tester holding a Xiaomi 13 smartphone while walking and collecting data in an underground parking lot covering a 16x70m area. The data includes 5G radio features and geomagnetic field information.
Collection Time: From 09:58 AM to 10:34 AM on July 13, 2024.
Total Samples: 12,800
Training Set (including validation set): 10,240
Test Set: 2,560
Note: During the testing phase, the original Region ID should not be included, as it serves as the estimation target for REM. After completing the Region ID estimation, the predicted Region ID is incorporated into the fingerprint features and then fed into LEM for fine-grained localization.
The data was collected by a tester holding a Xiaomi 13 smartphone while walking and collecting data in an underground parking lot covering a 16x70m area. The data includes 5G radio features and geomagnetic field information.
Collection Time: From 09:58 AM to 10:34 AM on July 13, 2024.
Total Samples: 12,800
Training Set (including validation set): 10,240
Test Set: 2,560
Note: During the testing phase, the original Region ID should not be included, as it serves as the estimation target for REM. After completing the Region ID estimation, the predicted Region ID is incorporated into the fingerprint features and then fed into LEM for fine-grained localization.
