ML-MCU
Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法,并在单片机上实现。This project is the project document for the GDUT 2022…
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This project is a Windows CLion IDE file for the MM32F3277G9 chip and a circuit design for the main control board based on the MM32F3277G9 chip. The software code contains the link files required for GCC, CMake files, clang-format files, Doxygen configuration files, etc. to ensure that this package is ready to use when it arrives. The hardware mainly contains the schematic and PCB files, and the Gerber files will be released in the form of Releases.The adapted tuning tool is developed using Qt, and the repository contains the Qt source code files for the tool. Some Python scripting tools are also provided for easy development, such as scripts for calculating filter parameters.
This project is developed around the 2022 National Student Intelligent Vehicle Competition. Complex algorithms such as LQR controller, multi-rate Kalman fusion, and advanced development tools such as unit testing and continuous integration are innovatively used in this project for development, which greatly improves the development efficiency and reduces the development cost.
Affiliation:AcmeTech
Author: Yanzhen Zhu, Guilin Zhao, Hanbing Lai
Maintainer:Yanzhen Zhu, Guilin Zhao, 2208213223@qq.com, 1662568794@qq.com
The source code is released under a AGPL-3.0 License.The product has been tested under Windows 10 and Ubuntu 18.04 and 20.04. This is research code, expect that it changes often and any fitness for a particular purpose is disclaimed.
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Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
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