Config files for my GitHub profile.

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…

Visual-Inertial Model-based State and External Forces Estimator

Analog Devices ADXL355 accelerometer library for Arduino

This is our final project for Computational Robotics class to incorporate a razor IMU sensor to improve the neato's wheel odometry.

This is our final project for Computational Robotics class to incorporate a razor IMU sensor to improve the neato's wheel odometry.

Implementation of multiple sensor fusion strategies for UWB/IMU localization

"Sensor Fusion for Multiple Distributed IMUs." This work fuses measurements from multiple simulated and real MEMS IMU sensors for state estimation.

[CVPR'25 Highlight] The official implementation of "GG-SSMs: Graph-Generating State Space Models"

Motion Sensor Calibration Tool

A Python implementation of Madgwick's IMU and AHRS algorithm.

A quaternion based sensor fusion algorithm that fuses accelerometers and gyroscopes and optionally magnetometers

MPU9250 driver with AHRS filter

A sensor library for the FXAS21002C gyroscope

A sensor library for the FXOS8700 I2C accelerometer and magnetometer

A new, customizable Arduino NMEA parsing library

Arduino library for Pololu LPS25H and LPS331AP boards

Pololu Arduino library for LIS3MDL magnetometer

Pololu Arduino library for LIS3MDL magnetometer

Arduino program for building an AHRS with a Pololu MinIMU-9

Arduino library for Pololu LSM6DS33 and LSM6DSO boards

A general method (with Python scripts) for calibrating accelerometer sensors.

A general method (with Python scripts) for calibrating accelerometer sensors.

MPU9250 full-featured driver library for general-purpose MCU and Linux.

ROS Robot OpenCV

Code repo of paper End-to-End Deep Learning Framework for Real-Time Inertial Attitude Estimation using 6DoF IMU

A curated list of awesome computer vision resources

Repository relating to "Reinforcement Learning Meets Visual Odometry" (ECCV, 2024).