New Approach to Intelligent Pedestrian Detection and Signaling on Crosswalks — (Supplementary Material)
The supplementary dataset supporting this research (10.1109/TITS.2024.3445156) provides resources for replicating the experimental evaluation of an intelligent crosswalk system. It includes XLS files with raw and processed photogrammetric data, such as vehicle speed profiles, pedestrian trajectory dispersion and statistical indicators under different lighting conditions (day and night). Additionally, the dataset contains 2,191 MP4 video files with a total size of 15.8 GB, documenting real-world trials over several days. These videos capture traffic scenarios, including pedestrian crossings and vehicle interactions, enabling visual analysis of speed reduction and trajectory improvements. Together, these resources offer a solid foundation for reproducibility, behavioral studies and future research on AI-based traffic signaling systems. No data related to AI algorithms is included due to intellectual property protection under patent WO 2018/050945.
Institutions
- Universidad de Huelva (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-08-29
- DOI
- https://doi.org/10.5281/zenodo.17979705
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00