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memre12/README.md

Mehmet Emre Demir

Autonomous Systems · Control · Estimation · Robotics · Real-Time Software

LinkedInGitHub

About

I am a Control and Automation Engineering student at Istanbul Technical University, working on autonomous systems, control, state estimation, and real-time robotics software.

My interests lie at the intersection of mathematical modelling and real-world robotic systems: estimating states from uncertain sensor data, designing feedback and model-based controllers, identifying system dynamics, and deploying these methods on autonomous platforms.

Control Feedback Control · State-Space Methods · LQR · MPC
Estimation Observers · Bayesian Estimation · Kalman Filtering · Sensor Fusion
Modelling System Identification · Koopman Methods · SINDy · Data-Driven Models
Robotics Localization · SLAM · Planning · Perception · Embedded Systems
Software C++ · Python · C · ROS 2 · CUDA · MATLAB · Simulink

Core Areas

Control Systems

Feedback control, state-space modelling, stability analysis, optimal control, Model Predictive Control, and control-oriented system design.

State Estimation

State observers, Bayesian estimation, Kalman-family filters, Gaussian filtering, uncertainty modelling, and multi-sensor fusion.

System Identification

Physics-based and data-driven modelling, parameter estimation, dynamic system identification, Koopman operator methods, DMD/EDMD, and SINDy.

Autonomous Robotics

Localization, SLAM, motion planning, perception, point-cloud processing, simulation, and real-time deployment on robotic platforms.

Selected Work

Real-time, map-based 6-DoF localization using ROS 2, CUDA-accelerated ICP, and point-cloud registration.

C++CUDAROS 2PCL

A multi-sensor state-estimation framework combining GNSS, IMU, and vehicle-speed measurements.

C++State EstimationGNSSIMU

Current Work

Some of my current projects are private or developed within university research and competition teams.

AreaCurrent Focus
Control & OptimizationModel-based control, optimal control, MPC, LQR, and data-driven control methods
Estimation & Sensor FusionObservers, probabilistic state estimation, Gaussian filters, and heterogeneous sensor fusion
System IdentificationDynamic modelling, parameter estimation, Koopman-based methods, DMD/EDMD, and SINDy
Localization & SLAMMapping, GNSS denied Localization
Perception & PlanningLiDAR processing, camera–LiDAR fusion, occupancy grids, and motion planning
High-Performance RoboticsCUDA acceleration, real-time C++, embedded NVIDIA platforms, and hardware-oriented testing

Technical Stack

C++PythonCROS 2CUDAMATLABSimulinkOpenCVDockerLinuxGit

From mathematical models to real-world autonomy.

Building systems that estimate, decide, and act under uncertainty.

Popular repositories Loading

  1. multi_sensor_fusion_localization multi_sensor_fusion_localizationPublic

    multi sensor fusion localization (GNSS-IMU-VEHICLE_SPEED)

    C++ 7 2

  2. itu_zes_weeklyhw itu_zes_weeklyhwPublic

    ITU GAE AUTONOMOUS weekly homework

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  3. gazebo_traffic_light_ros2 gazebo_traffic_light_ros2Public

    Gazebo Traffic Light Plugin ROS2

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  4. gpu-lidar-localization gpu-lidar-localizationPublic

    GPU-accelerated ROS 2 LiDAR localization using CUDA ICP for real-time map-based 6-DoF pose estimation.

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  5. ardupilot-1 ardupilot-1Public

    Forked from ArduPilot/ardupilot

    ArduPlane, ArduCopter, ArduRover, ArduSub source

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  6. memre12 memre12Public