This is the dataset for 'A General Lightweight Odometry Framework for Intelligent Vehicles' See https://github.com/YushengWHU/GIO_dataset for detailed introduction.
This dataset provides a dataset of high resolution image-grade LiDAR SLAM in .bag format.
This repository shares some simultaneous localization and mapping (SLAM) datasets and detection datasets for railroad application. In the first stage, we decide to realease some LiDAR, visual, IMU sequence for freight-traffic railways. The ground truth cannot be provided due to safety regulations. Please infer https://github.com/YushengWHU/Railroad-dataset for detailed information.
This repository shares the dataset of our publication "NR-LOM: LiDAR Odometry and Mapping Integrating 5G New Radio Technology". The raw data contains LiDAR, IMU, GNSS, encoder measurements in rosbag. Besides we also provide raw 5G measurements and real-time 5G positions from a 5G PRS beacon.