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A library to create plots using plotly. (Mirror of https://gitlab.com/MusicScience37Projects/utility-libraries/cpp-plotly-plotter )
A library to generate LaTeX expression from Python code.
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Cross-platform frameless window framework for Qt. Support Windows, macOS, Linux.
Qt 之 GUI 控件使用 / 网络 / 架构原理 / 运行机制理解；DTK 重绘控件方式的框架解析；IDE 技巧之 Visual Studio / Qt Creator；此为系列文章教程
FlatBuffers: Memory Efficient Serialization Library
UrbanNav:An Open-sourced Multisensory Dataset for Benchmarking Positioning Algorithms Designed for Urban Areas
A Robust, Real-time, INS-Centric GNSS-Visual-Inertial Navigation System
The InertialSenseSDK contains code to quickly and easily integrate with Inertial Sense systems.
An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS,…
UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong
This is a generic Option and Result type based on c++ std::variant, similar to Option and Result<T,E> in Rust.
A structure similar to Rust Option implemented in C++ based on std::variant
Simple, portable, and self-contained stacktrace library for C++11 and newer
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
The Australian Government, through Positioning Australia (part of Geoscience Australia), is funding the design, development and operational service of a Global Navigation Satellite System (GNSS) po…
Up to 10x faster strings for C, C++, Python, Rust, Swift & Go, leveraging NEON, AVX2, AVX-512, SVE, & SWAR to accelerate search, hashing, sort, edit distances, and memory ops 🦖
An awesome vehicle dataset for GNSS/INS integration applications
Emscripten: An LLVM-to-WebAssembly Compiler
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…