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Supporting Data for Generating Realistic and Diverse Tests for LiDAR-Based Perception Systems

<p>Supporting data for ICSE 2023 paper &quot;Generating Realistic and Diverse Tests for LiDAR-Based Perception Systems&quot;.</p> <p>&nbsp;</p> <p>The &quot;selected_data.tar.xz&quot; file contains a small subsample of the <a href="http://www.semantic-kitti.org">SemanticKITTI data set</a> for use in demonstration of the capabilities of the research prototype tool used in the evaluation. The SemanticKITTI data set is released under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, which permits redistribution under the same terms.</p> <p>The &quot;study_data_compressed.tar.xz&quot; file contains the intermediate results obtained during the study conducted in the paper. We provide scripts to generate the figures and tables from the paper given this data.</p> <p>&nbsp;</p> <p>The</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
12
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
January 24, 2023
License
cc-by-nc-sa-4.0
DOI
10.5281/zenodo.7569211

Scored with release 0.9.0

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