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STM32 examples for USART using DMA for efficient RX and TX transmission
Yolo v3 framework base on tensorflow, support multiple models, multiple datasets, any number of output layers, any number of anchors, model prune, and portable model to K210 !
YOLOv3_ReSAM:A Small Target Detection Method With Spatial Attention Module
Spiking neural network implementation inspired by cellular automata for efficiency
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
Extented Kalman Filter for 6D pose estimation using gps, imu, magnetometer and sonar sensor.
Software for "Guide to gyro and accelerometer with Arduino including Kalman filtering"
Using error-state Kalman filter to fuse the IMU and GPS data for localization.
IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP
This is a Kalman filter used to calculate the angle, rate and bias from from the input of an accelerometer/magnetometer and a gyroscope.
Unscented Kalman Filter library for state and parameter estimation
Lightweight C/C++ Extended Kalman Filter with Python for prototyping
Access the data of 3-axis magnetometer and DMP from MPU9250 with SPI interface, All data fusion via EKF/UKF/CKF/SRCKF algorithm
The robot_pose_ekf ROS package applies sensor fusion on the robot IMU and odometry values to estimate its 3D pose.
High-performance Spiking Neural Networks Library Written From Scratch with C++ and Python Interfaces.
YoloV7 for a bare Raspberry Pi using ncnn.