Comparison between ORB-SLAM and ORBSLAMM in a multi-robot scenario.

Figshare2018-04-28 更新2026-04-29 收录

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https://figshare.com/articles/dataset/Comparison_between_ORB-SLAM_and_ORBSLAMM_in_a_multi-robot_scenario_/6195554 数据链接链接失效反馈

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Comparison between ORB-SLAM and ORBSLAMM in a multi-robot scenario.

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2018-04-28

Dataset for: AUV path planning for positioning multiple underwater robots under communication and ocean current constraints

机器人路径规划

多机器人协同定位

The data package contains the simulation data referenced in Section 4 of the article. The data files are stored in MATLAB’s “.mat” format, with each file corresponding to Figures 14–20 in the manuscri

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Radio-Based Multi-Robot Odometry And Localization Dataset

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雷达与UWB里程计

This dataset consists of a ROS .bag file which includes an experiment of relative localization of an UGV-UAV team with Ultra-Wideband and RADAR odometry constraints. For details on how to use please c

NIAID Data Ecosystem40

Visual and visual-inertial SLAM: State-of-the-Art, Classification and Experimental Benchmarking

视觉SLAM算法

机器人定位基准测试

IRSTV dataset used in the publication "Visual and visual-inertial SLAM: State-of-the-Art, Classification and Experimental Benchmarking", Myriam Servières, Valérie Renaudin, Alexis Dupuis an

Zenodo2021-01-04 更新10

JPL Mars Yard Duo Dataset

多机器人协同定位

火星探测无人机导航

我们提出了一种系统解决方案，可以使用热图像和惯性测量为飞行机器人团队实现数据高效，分散的状态估计。每个机器人都可以独立飞行，并在可能的情况下交换数据以完善其状态估计。我们的系统前端应用在线光度校准来优化热图像，从而增强特征跟踪和位置识别。我们的系统后端使用协方差交叉融合策略来忽略代理之间的互相关，从而降低内存使用量和计算成本。通信管道使用本地聚合描述符 (VLAD) 的向量来构建需要低带宽使用的请

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Robust and Convergent Distributed Cooperative Localization with Labelled Bernoulli Random Finite Set

多机器人协同定位

状态估计

This is our experimental interface and environment. the algorithm's performance was evaluated using the UTIAS multi-robot CL and mapping dataset provided by Leung et al.Each robot was equipped wi

DataCite Commons2024-02-02 更新30

Comparison between ORB-SLAM and ORBSLAMM in a multi-robot scenario.

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