five

Predictive Search Model of Flocking for Quadcopter Swarm in the Presence of Static and Dynamic Obstacles

收藏
NIAID Data Ecosystem2026-03-14 收录
下载链接:
https://zenodo.org/record/7469774
下载链接
链接失效反馈
官方服务:
资源简介:
The folder includes experimental data for the paper titled "Predictive Search Model of Flocking for Quadcopter Swarm in the Presence of Static and Dynamic Obstacles". In the paper, we present a Predictive Search Model (PSM) for flocking with Heading and Speed Shared (HSS) and Heading and Speed Unshared (HSU) prediction methods. We compare the performance of PSM with Potential Field Model (PFM) in the presence of static and dynamic obstacles in simulation. Also, we validate the performance of PSM with a quadcopter swarm indoors. The 'simulation experiments' folder includes simulation experiment data and MATLAB scripts that can simulate the experiments and provide plots for analysis. The 'quadcopter experiments' folder includes quadcopter experiment data and MATLAB scripts that can simulate the experiments and provide plots for analysis.
创建时间:
2022-12-22
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作