NTUST LiDAR Dataset for BEV-based Localization

This dataset contains LiDAR point cloud data collected using a Velodyne VLP-32C sensor at 10 Hz around the NTUST campus, Taipei. The dataset consists of five routes (1022, 1030, 1050, 1100, 1113) and includes raw point cloud data for autonomous navigation research. Total size: approximately 28.6 GB. This dataset is used for BEV-based localization and retrieval experiments in the SS-BEVR-UAR framework. A lightweight sample subset is available in the associated GitHub repository.