MaRS: A Modular and Robust Sensor-Fusion Framework
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Updated
Apr 23, 2025 - C++
MaRS: A Modular and Robust Sensor-Fusion Framework
Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.
A ROS wrapper for the MaRS Library
Matlab implementations of various multi-sensor labelled multi-Bernoulli filters
A ROS2 wrapper for the MaRS Library
EKF model to estimate humanoid state (pose + velocities) based on floating base dynamics equations.
A visual, hands-on introduction to Monte Carlo methods with clean simulations, intuitive explanations, and from-scratch implementations.
A comprehensive autonomous UAV framework integrating real-time SLAM, dynamic trajectory planning, and precision attitude control for navigation in complex environments.
Implementation of Linear/Nonlinear filters in MATLAB
Implimentation of kalman filter for a vehicle with unknown location, noisy measurements using python
Ishan Paranjape's cislunar target tracking research, as presented at numerous conferences
Design, fabrication, and control of inverted pendulum on a cart
GNSS Tools For GTSAM
Open-source implementation of 12-State Kalman Filter and 15-State Extended Kalman Filter for asynchronous multi-rate sensor fusion, including Python and MATLAB implementations, synthetic dataset generation, and validation framework.
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