The Centre of Excellence for Testing & Research of Autonomous Vehicles – NTU (CETRAN) Visit https://cetran.sg to know more on CETRAN activities.
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11 to 20 of 63 Results
Tabular Data - 7.8 KB - 11 Variables, 43 Observations - UNF:6:A05RomaGH5izFOXkMLKkOA==
VUT position data for scenario 2 run 2
Tabular Data - 54.1 KB - 6 Variables, 561 Observations - UNF:6:FfAwwi+L/C8sNRIi8MZ+Qg==
Latency data for scenario 3 run 1
Tabular Data - 45.1 KB - 6 Variables, 469 Observations - UNF:6:Yvvpm8Y28VgdhCQbM103/g==
Latency data for scenario 3 run 2
Tabular Data - 10.6 KB - 11 Variables, 57 Observations - UNF:6:4E+ck5EOAauAj7748YrZbQ==
VUT position data for scenario 3 run 1
Tabular Data - 8.4 KB - 11 Variables, 46 Observations - UNF:6:idWqBUrK1GOW7KB4vRoqsw==
VUT position data for scenario 3 run 2
Nov 3, 2023
This dataverse contains data and datasets from the COSMO Work Package 7 project titled Connected Autonomous People Mover Case Study.
Aug 14, 2023 - UMGC-L010 Research & Development of Methods for a Holistic Evaluation of AV Safety under Tropical Urban Conditions
Vijay, Roshan, 2023, "Selected Environmental Parameters affecting Autonomous Vehicle (AV) Sensors", https://doi.org/10.21979/N9/NT8HIM, DR-NTU (Data), V1
This dataset contains LiDAR (Light Detection and Ranging) sensor return intensities of the Velodyne VLS-128 LiDAR sensor against various automotive paint panels. The panels have been tested at different angles and distances as well as different surface conditions such as dry and...
Comma Separated Values - 3.8 MB - MD5: 040b87d4e13d6cea7c9a8f726597fad9
Velodyne VLS-128 LiDAR sensor against Comfort DelGro taxi blue paint panel with dry surface
Comma Separated Values - 3.8 MB - MD5: b329dd90c89c3728e7a0976e79cf1e02
Velodyne VLS-128 LiDAR sensor against Comfort DelGro taxi blue paint panel with wet surface
Comma Separated Values - 3.9 MB - MD5: 8c3a9fd03db136d3e7f6ebbaf0652479
Velodyne VLS-128 LiDAR sensor against Glossy black paint panel with dry surface
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