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Published July 10, 2025 | Version 1.0
Dataset Open

Augmented Lisa Traffic Sign Dataset for Rural Areas

Creators

  • 1. Center for Rural and Regional Connected Communities

Description

This augmented LISA Traffic Sign Dataset is specifically enhanced to facilitate the development, testing, and evaluation of Connected and Automated Vehicles (CAVs) in rural environments.

Files

AugmentedLisaTrafficSignDataset.zip

Files (494.0 MB)

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md5:f9ed42515ed21aa26d0ca3ed4130ee61
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Additional details

Funding

Office of the Assistant Secretary for Research and Technology
Center for Regional and Rural Connected Communities (CR2C2) 69A3552348304
North Carolina Department of Transportation
RP2023-31

Dates

Collected
2025-04-20

Software

Repository URL
https://github.com/ACCESSLab/traffic_sign_detection_rural_area
Development Status
Active

References

  • Andreas Møgelmose, Dongran Liu, and Mohan M. Trivedi. Traffic sign detection for U.S. roads: Remaining challenges and a case for tracking. In 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), pages 1394–1399, 2014
  • Jun Wang, Li Zhang, Yanjun Huang, and Jian Zhao. Safety of autonomous vehicles. Journal of advanced transportation, 2020(1):8867757, 2020.
  • Nicholas Gray, Megan Moraes, Jiang Bian, Alex Wang, Allen Tian, Kurt Wilson, Yan Huang, Haoyi Xiong, and Zhishan Guo. GLARE: A dataset for traffic sign detection in sun glare. IEEE Transactions on Intelligent Transportation Systems, 24(11):12323–12330, 2023.
  • Mohammed Zakaria, Tesfamichael Getahun, Ali Karimoddini , Traffic Sign Dataset for Connected and Automated Vehicle Operations in Rural Areas
  • Mohammed Zakaria, Tesfamichael Getahun, Ali Karimoddini , Traffic Sign Detection for Rural Operations of Connected and Automated Vehicles