LiDAR performance against automotive paint panels (doi:10.21979/N9/CGDKMZ)

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Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

LiDAR performance against automotive paint panels

Identification Number:

doi:10.21979/N9/CGDKMZ

Distributor:

DR-NTU (Data)

Date of Distribution:

2023-08-14

Version:

1

Bibliographic Citation:

Vijay, Roshan, 2023, "LiDAR performance against automotive paint panels", https://doi.org/10.21979/N9/CGDKMZ, DR-NTU (Data), V1

Study Description

Citation

Title:

LiDAR performance against automotive paint panels

Identification Number:

doi:10.21979/N9/CGDKMZ

Authoring Entity:

Vijay, Roshan (Nanyang Technological University)

Software used in Production:

ROS RViz

Distributor:

DR-NTU (Data)

Access Authority:

Vijay, Roshan

Depositor:

Vijay, Roshan

Date of Deposit:

2023-08-14

Holdings Information:

https://doi.org/10.21979/N9/CGDKMZ

Study Scope

Keywords:

Engineering, Engineering, lidar, automotive paint, sensor testing

Abstract:

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 speed of 540 rpm and the return intensity values are on a scale of 0 to 255. The automotive paints were selected based on common colours seen on Singapore's roads. The paint descriptions have been provided for each data file. The sensor was set up on a testing rig at a constant height in a controlled dry environment. The paint panels were tested without any surface impurities in a dry environment.

Kind of Data:

Experimental data

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Identification Number:

2309.01346

Bibliographic Citation:

J. L. W. Shung, P. Hibbard, R. Vijay, L. A. H. Kin, and N. de Boer, White paper on LiDAR performance against selected Automotive Paints. 2023.

Other Study-Related Materials

Label:

VLS128_CDSBL_Gloss.csv

Text:

Velodyne VLS-128 LiDAR sensor against Comfort DelGro taxi blue paint panel

Notes:

text/csv

Other Study-Related Materials

Label:

VLS128_SB_Gloss.csv

Text:

Velodyne VLS-128 LiDAR sensor against Glossy black paint panel

Notes:

text/csv

Other Study-Related Materials

Label:

VLS128_SB_Matte.csv

Text:

Velodyne VLS-128 LiDAR sensor against Matte black paint panel

Notes:

text/csv

Other Study-Related Materials

Label:

VLS128_SMRTG_Gloss.csv

Text:

Velodyne VLS-128 LiDAR sensor against SMRT bus green paint panel

Notes:

text/csv

Other Study-Related Materials

Label:

VLS128_SW_Gloss.csv

Text:

Velodyne VLS-128 LiDAR sensor against White gloss paint panel

Notes:

text/csv

Other Study-Related Materials

Label:

VLS128_TCSRM_Gloss.csv

Text:

Velodyne VLS-128 LiDAR sensor against Toyota red gloss paint panel

Notes:

text/csv

Other Study-Related Materials

Label:

VLS128_TSSM_Gloss.csv

Text:

Velodyne VLS-128 LiDAR sensor against Toyota silver gloss paint panel

Notes:

text/csv