Exploring Trade-Offs and Potentials for Micro-UAV Development
This research develops and validates a systematic, low-cost engineering framework for optimizing paper aircraft through computer vision flight tracking and iterative design methodology, with demonstrated transferability to micro-UAV development applications.
Traditional paper aircraft design relies on inefficient trial-and-error approaches that limit aerodynamic understanding and provide no systematic pathway to micro-UAV engineering skills.
By implementing the Lucidraft software for automated trajectory tracking, quantitative performance measurement, and enforced single-variable modification protocols across multiple aircraft iterations, this framework transforms subjective flight assessment into reproducible engineering data.
Methodical engineering framework with controlled single-variable modifications and reproducible testing protocols.
Automated trajectory analysis using CSRT algorithm for objective performance measurement.
Transferable design principles and skills applicable to professional micro-UAV development.
Lucidraft is a paper plane engineering software that serves as a digital engineering notebook with enhanced analytical capabilities.
Access our research paper, software, and additional resources
Complete research paper detailing our methodology, results, and conclusions.
Our custom software for systematic paper aircraft analysis and optimization.
Complete dataset from our experiments for further analysis.
Slides from our project presentation with visualizations and key findings.
