LCRM: A Linear-Camera Dataset for Road Marking Segmentation and Damage Evaluation
Year: 2025
Type: article
Abstract: We introduce the Linear-Camera Road Marking (LCRM) dataset, which is the first to couplesegmentationwithmarking damage evaluationon the same images, and the first captured with alinear (line-scan) camera. LCRM spans Russian cities, covers 12 marking types, and grades instance damage with a 3-level scheme aligned with maintenance thresholds. We release 3,966 labeled images (train/test) and 18,847 unlabeled images. We also benchmark representative models across four tasks (binary and multi-class semantic segmentation, instance segmentation, and damage evaluation) to establish baselines for this new sensing regime.
Source: IEEE Access
Authors: Ilya Makarov, Nikita Sidelnikov, Daniil Storonkin, Eugene Kapustin, Alexander Karandeev, Alexey Maslov, Maksim Golyadkin
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,075
OpenAlex ID: W4414404596