VIO comparison on Euroc

IEEE2019-11-13 更新2026-04-17 收录

视觉惯性里程计评估

机器人定位

数据链接：

https://ieee-dataport.org/documents/vio-comparison-euroc 数据链接链接失效反馈

官方服务：

资源简介：

This dataset contains the comparison results on the 'Euroc'public dataset of DVIO, VINS-Mono, and ROVIO.

创建时间：

2019-11-13

转运机器人多层级融合定位数据

机器人定位

传感器融合

该数据集面向转运机器人多源融合定位精度提升的研究需求建设，核心背景是在实际工业转运场景中，单一传感器定位方案存在明显的场景局限性：激光雷达在低特征场景易漂移，视觉定位受光照与遮挡影响大，磁导航易受金属工件干扰，而多源传感器融合定位通过整合各传感器的优势特征，弥补单一传感器的不足，是实现工业场景下轨道对接高精度定位的核心技术路径。其资源来源于前三个数据集的激光雷达、视觉、磁传感器原始数据，通过多层级

国家基础学科公共科学数据中心300

aiwhisperer/find-aruco-right

机器人定位

Aruco码识别

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/hugg

Hugging Face2026-04-10 更新30

Positioning and telemetry from ROV survey PS122/1_6-118 on 2019-11-10, survey 1

北极气候观测

机器人定位

The horizontal position of the remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between...

B2FIND20

VIODE

视觉惯性里程计评估

动态环境无人机导航

Dynamic environments such as urban areas are still challenging for popular visual-inertial odometry (VIO) algo- rithms. Existing datasets typically fail to capture the dynamic nature of these environm

Zenodo2021-02-28 更新50

Preprocessed dataset - Improving position estimation of 3D gridboard with ArUco markers in robotic systems

机器人定位

ArUco标记姿态估计

The Excel file "Gridboard_preprocessed_data.xlsx" contains the preprocessed data that was used for the evaluation. Each sheet contains data for a specific gridboard tilt setting. The columns "pos_x" a

Zenodo2026-03-25 更新20

VIO comparison on Euroc

资源简介：

相关数据集