2026-10-13T02:39:09Z https://www.scidb.cn/oai

10.57760/sciencedb.IGA.0018k 2026-08-31T11:25:29Z

2026-08-31 Multi‑trajectory Visual‑Inertial Dataset with RTK Ground Truth doi:10.57760/sciencedb.iga.0018k en This dataset collects raw sensor data from the Visual‑Inertial Measurement Unit (VIMU) under three distinct driving trajectories. High‑precision positioning ground‑truth data from Real‑Time Kinematic (RTK) are synchronously acquired to realize simultaneous multi‑source data collection of vision, inertial measurement and satellite positioning.Targeting the field of mobile robot localization and navigation, this dataset can be adopted to evaluate and verify the positioning accuracy and environmental robustness of various mainstream algorithms. Applicable algorithms include robotic SLAM, Visual Odometry (VO), Visual‑Inertial Navigation System (VINS), and multi‑sensor fusion localization algorithms. It can fully support scientific research and engineering development tasks such as offline algorithm testing, quantitative error analysis, and trajectory comparison simulation. Robotic SLAM algorithms; Visual Odometry; Visual‑Inertial Navigation Sys 刘强力 PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank