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 |
