151 to 160 of 181 Results
Nov 2, 2023 -
Localization dataset from 5G receiver of the vehicle
MATLAB Data - 131.8 MB -
MD5: 2470feb083a0e095c10779486027feea
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Nov 2, 2023 -
Localization dataset from 5G receiver of the vehicle
Unknown - 185.2 MB -
MD5: 64da3e710cd3789bccc52bfaed913eda
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Nov 2, 2023 -
Localization dataset from 5G receiver of the vehicle
Unknown - 286 B -
MD5: ca4b2210d416fd06b57551fea5b815d1
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Nov 2, 2023 -
Localization dataset from 5G receiver of the vehicle
MATLAB Data - 137.2 MB -
MD5: f4ec86a140226deb41d56762414bd1ca
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Nov 2, 2023 -
Localization dataset from 5G receiver of the vehicle
Unknown - 185.2 MB -
MD5: a3b6fcd3fc53836d320fdd1b39f53688
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Nov 2, 2023 -
Localization dataset from 5G receiver of the vehicle
Unknown - 286 B -
MD5: 1aa57a1c61c3766a84f0e72c5d2e2aac
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Nov 2, 2023 -
Localization dataset from 5G receiver of the vehicle
MATLAB Data - 141.9 MB -
MD5: 61f3ac62b555bfd05eba1c50b576f127
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Nov 2, 2023 -
Localization dataset from 5G receiver of the vehicle
Unknown - 185.2 MB -
MD5: d328949ea7107a0f7de23af67df7ae20
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Nov 2, 2023 -
Localization dataset from 5G receiver of the vehicle
Unknown - 286 B -
MD5: bb816f2cf0fd09af056293dda21cd985
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Nov 22, 2017 - Sensor Calibration and Truth Discovery
Yang, Jielong; Tay, Wee Peng; Zhong, Xionghu, 2017, "Light sensors data for blind calibration", https://doi.org/10.21979/N9/QNV6CW, DR-NTU (Data), V1
We collected measurements from 10 high quality light sensors. We use two sensors as reference sensors to provide the ground truth and perturbed the others by covering them with paper. The data is collected in 3 different areas of a passageway. The differences of the light intensi... |
