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Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
The Time Series Visualization Tool that you deserve.
FAST is a GNSS Data Download and Processing software developed in Python. The software adopts a modular architecture, consisting of four main components: data download, quality analysis, SPP, and s…
GREAT-PVT: Precision Positioning and Navigation Software by Wuhan University GREAT Group
A general graph optimizor using tbb to speed up.
A square root VO/VIO solver using tbb to speed up.
A simple vio-mono with two backend solver (scba and rootba).
A state vio estimator for robots using ESKF
Vision geometry module consit of essential, pnp, triangulation.
Intergration of some simple image processe method.
The model of sensors for slam, for example, imu, camera, and so on.
A general visual frontend consulting VINS-Mono.
A feature detector on image for point or line corners, such as fast, harris, shi-tomas and so on.
A simple optical flow feature tracker, direct method tracker and descriptor matcher.
Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code
CLI11 is a command line parser for C++11 and beyond that provides a rich feature set with a simple and intuitive interface.
Mirror of the Basalt repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt
GNSS/INS/Camera Integrated Navigation Library
Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
Toolbox for quantitative trajectory evaluation of VO/VIO
Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Python package for the evaluation of odometry and SLAM
The #1 open-source Android GNSS/GPS test program
IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP