A post-processing toolkit for refining the accuracy of Pedestrian Dead Reckoning (PDR) systems by analyzing and adjusting the trajectory data.
PostProccess-PDR is designed to enhance the precision of PDR systems. It applies various post-processing techniques to the raw trajectory data obtained from sensors, such as IMUs, to correct systematic errors and improve overall navigation accuracy.
- Trajectory Refinement: Applies algorithms to smooth and adjust the trajectory data.
- Error Correction: Identifies and corrects systematic errors in the PDR data.
- Data Analysis: Provides tools for detailed analysis of PDR data quality.
- Open Source: Encourages community contributions and transparent development.
To begin using PostProccess-PDR, follow these steps:
-
Clone the Repository
git clone https://github.com/Yuyyyuuu/PostProccess-PDR.git
-
Install Dependencies
- Ensure you have the necessary libraries and tools installed. Dependencies are listed in the
requirements.txt
file.
- Ensure you have the necessary libraries and tools installed. Dependencies are listed in the
-
Run the Post-Processing Tool
- Execute the main script to start the post-processing workflow.
-
Analyze Results
- Review the refined trajectory data and analyze the improvements.
Comprehensive documentation on the usage, configuration, and customization of PostProccess-PDR is available in the docs
directory.
We welcome contributions to PostProccess-PDR. Please consult the CONTRIBUTING.md
file for our contribution guidelines.
This project is licensed under the MIT License. See the LICENSE
file for more information.
For inquiries or support, use the issue tracker within the repository.
- The open-source community for their valuable insights and contributions.
- All contributors who have helped improve the PostProccess-PDR system.
This README provides a concise introduction to the PostProccess-PDR project, its main features, and instructions for getting started. It also includes information on documentation, contributing, licensing, and community engagement, all while adhering to the guidelines of not including personal information or external links. Adjust the content as needed to match the specific details of your project.