Optimizing Success Rate with Nonlinear Mapping Control in a High-Performance Raspberry Pi-Based Light Source Target Tracking System

Shengyao Zhang

doi:10.17605/OSF.IO/GPJX5

Optimizing Success Rate with Nonlinear Mapping Control in a High-Performance Raspberry Pi-Based Light Source Target Tracking System

Contributors:

Shengyao Zhang

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: This study addresses the limitations of linear mapping in two-dimensional gimbal control for moving target tracking, which results in significant control errors and slow response times.

Projects
Registrations

Results: All Projects Results: My Projects Results: All Registrations Results: My Registrations

Files

Files can now be accessed and managed under the Files tab.

Citation

Recent Activity

Unable to retrieve logs at this time. Please refresh the page or contact support@osf.io if the problem persists.

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.

This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.

Create an Account Learn More Hide this message

Main content

Links to this project

Optimizing Success Rate with Nonlinear Mapping Control in a High-Performance Raspberry Pi-Based Light Source Target Tracking System

Link other OSF projects

Files

Citation

Recent Activity

Start managing your projects on the OSF today.