Established in June 2010, the Energy Research Institute @NTU (ERI@N) distinguishes itself through excellence in basic research directed towards outcomes of high industry relevance, with focus on systems-level research for tropical megacities.

It achieves this via seven Interdisciplinary Research Programmes (IRP) and two Flagship Programmes that covers the energy value chain from generation, transmission to end use. The IRPs address research covering the domains of renewables, low carbon generation along with energy storage and fuel cells; renewables integration, multi-energy systems and grids; sustainable buildings, future mobility solutions and maritime clean energy.

The two flagship projects, EcoCampus and Renewable Energy Integration Demonstrator Singapore (REIDS) serve as strong “Living Lab” platforms to engage industry developed innovation, focusing on solutions that achieves energy efficiency and renewable energy integration into smart micro grids, respectively.

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321 to 330 of 1,738 Results
VLS128_TCSRM_Gloss_Wet.csv
Aug 14, 2023 - Selected Environmental Parameters affecting Autonomous Vehicle (AV) Sensors
Comma Separated Values - 4.0 MB - MD5: 54842632d35b0c7c28b5060c57f1456e
Velodyne VLS-128 LiDAR sensor against Toyota red gloss paint panel with wet surface
VLS128_TSSM_Gloss_Dry.csv
Aug 14, 2023 - Selected Environmental Parameters affecting Autonomous Vehicle (AV) Sensors
Comma Separated Values - 3.7 MB - MD5: f85eb3d4a276f7e80958ea38369c43dc
Velodyne VLS-128 LiDAR sensor against Toyota silver gloss paint panel with dry surface
VLS128_TSSM_Gloss_Wet.csv
Aug 14, 2023 - Selected Environmental Parameters affecting Autonomous Vehicle (AV) Sensors
Comma Separated Values - 3.9 MB - MD5: e925ca97e88958a5faf9b607c9b1885f
Velodyne VLS-128 LiDAR sensor against Toyota silver gloss paint panel with wet surface
LiDAR performance against automotive paint panels
Aug 14, 2023 - UMGC-L010 Research & Development of Methods for a Holistic Evaluation of AV Safety under Tropical Urban Conditions
Vijay, Roshan, 2023, "LiDAR performance against automotive paint panels", https://doi.org/10.21979/N9/CGDKMZ, 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. The LiDAR sensor was tested at a constant rotation spee...
VLS128_CDSBL_Gloss.csv
Aug 14, 2023 - LiDAR performance against automotive paint panels
Comma Separated Values - 917 B - MD5: 80f2451629ffda9b940baf3983c6f433
Velodyne VLS-128 LiDAR sensor against Comfort DelGro taxi blue paint panel
VLS128_SB_Gloss.csv
Aug 14, 2023 - LiDAR performance against automotive paint panels
Comma Separated Values - 876 B - MD5: 4c295ea14aa4b924c808ee83510b4db2
Velodyne VLS-128 LiDAR sensor against Glossy black paint panel
VLS128_SB_Matte.csv
Aug 14, 2023 - LiDAR performance against automotive paint panels
Comma Separated Values - 896 B - MD5: d3505847397facd4b1d9de9b696a2247
Velodyne VLS-128 LiDAR sensor against Matte black paint panel
VLS128_SMRTG_Gloss.csv
Aug 14, 2023 - LiDAR performance against automotive paint panels
Comma Separated Values - 894 B - MD5: 2c9ccab750b0d1f872dfddcf134841a0
Velodyne VLS-128 LiDAR sensor against SMRT bus green paint panel
VLS128_SW_Gloss.csv
Aug 14, 2023 - LiDAR performance against automotive paint panels
Comma Separated Values - 899 B - MD5: dc266159f5cdaafae92e15bd051832b9
Velodyne VLS-128 LiDAR sensor against White gloss paint panel
VLS128_TCSRM_Gloss.csv
Aug 14, 2023 - LiDAR performance against automotive paint panels
Comma Separated Values - 917 B - MD5: 9effa714d45a0b1da2f6691541af57cd
Velodyne VLS-128 LiDAR sensor against Toyota red gloss paint panel
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