SDUITC Database

The SDUITC database is a multi-modal resourse developed at the Shandong Cooperative Vehicle-Infrastructure Test Base, which uses roadside cameras and LiDAR to monitor road targets and collect point cloud information. Following ground segmentation (target point cloud extraction), target identification and tracking, and feature extraction, the target point cloud information is refined and summarized into the following content: 1. Video snapshot of the captured target; 2. Point cloud clustering information for the target; 3. Feature tables. This database serves as a critical resource for studying and analyzing vehicle and infrastructure interactions using roadside sensor technology. It contains 10,002 samples, with sample counts for vehicle categories 1 through 5 being 239, 8197, 217, 939, and 410, respectively.