Supporting Data for Generating Realistic and Diverse Tests for LiDAR-Based Perception Systems
<p>Supporting data for ICSE 2023 paper "Generating Realistic and Diverse Tests for LiDAR-Based Perception Systems".</p> <p> </p> <p>The "selected_data.tar.xz" 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 "study_data_compressed.tar.xz" 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> </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