Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
A C++ interface to formulate and solve linear, quadratic and second order cone problems.
翻译 - 一个现代的C ++接口，用于制定和解决线性，二次和二阶锥问题。
#算法刷题#Rcpp integration for the Eigen templated linear algebra library
This is an open source Kalman filter C++ library based on Eigen3 library for matrix operations. The library has generic template based classes for most of Kalman filter variants including: (1) Kalma...
Fast and full-featured Matrix Market I/O library for C++, Python, and R
Header-only C++ library containing controllers designed for Lie Groups.
Numerical C++ examples.
ByteTrack-Eigen is a C++ implementation of the ByteTrack object tracking method, leveraging the Eigen library for high-performance matrix and vector operations.
Eigen based C++11 implementation of cubic spline approximation (smoothing)
A C++ Second Order Cone Solver based on Eigen
Eigen matrix math library.
An Extended Kalman Filter (that uses a constant velocity model) in C++. This EKF fuses LIDAR and RADAR sensor readings to estimate location (x,y) and velocity (vx, vy).
Simple and fast voxel traversal with C++17 and Eigen
This extended Eigen C++ template library and wrapper provide a malloc-free Moore-Penrose pseudoinverse solver.
The functions provided in this C++ source files are used to save and load Eigen C++ matrices/arrays to and from CSV values.
C++ API to create Neural Nets using Eigen library
Fast Fourier Transform Implementation in C++
Suite of 1D, 2D, 3D demo apps of varying complexity with built-in support for sample mesh and exact Jacobians
A Visual Studio project demonstrating how to perform object tracking across video frames with YOLOX, ONNX Runtime, and the ByteTrack-Eigen library.