About Me

Who Am I?

Hi! I'm Abdullah Yusefi, PhD in Sensor fusion and Visual-based Localization in Autonomous Systems. I have 4+ years of hands-on experience with 3D/2D LiDAR, 4D/3D Radar, Inertial sensors, RTK GNSS, and Mono/Stereo Cameras. I develop and implement software for autonomous navigation, perception, and control systems in robotics. My expertise includes C++, Python, ROS 1/2, OpenCV, Keras, PyTorch, and more. Currently, I am an R&D Software Engineer at MPG Machinery Production Group Inc. in Konya, Turkey.

LinkedIn: abdullah-yusefi

Robotics

Sensor Fusion

Software

Application

My Specialty

My Skills

Below are some of my core skills:

Python

90%

C++

85%

ROS 1/2

80%

OpenCV

80%

Keras / PyTorch

75%

Linux

90%

Sensor Integration (LiDAR, Radar, IMU, GNSS, Cameras)

85%
Education

Education

Experience

Work Experience

  • Develop and implement software for autonomous navigation, perception, and control systems in robotics.
  • Integrate visual, LiDAR, and IMU sensors for real-time environment perception.
  • Apply machine learning for optimizing decision-making in dynamic environments.
  • Use simulation tools to validate robotic algorithms in various scenarios.
  • Collaborate with multidisciplinary teams to integrate software into complete robotic systems.
  • Prepare technical documentation to communicate complex concepts effectively.
  • Mentor junior team members and foster a collaborative team environment.
  • Stay updated with advancements in robotics and software engineering.
  • Oversee customer requests and promptly handle service events.
  • Address escalated issues for timely resolution.
  • Manage trouble ticket procedures, serving as an escalation point for NOC employees.
  • Supervise phone queues, ticket statuses, and core network maintenance, demonstrating self-management, logical thinking, and strong communication skills.
  • Install and configure Cisco networking equipment for optimal functionality.
  • Monitor and maintain IP/VoIP/VPN networks to ensure reliability and high performance.
  • Manage configurations, including backup, restoration, and modifications.
  • Analyze syslogs, manage alarms, implement QoS for efficient bandwidth, oversee network management, troubleshoot issues, and ensure timely resolutions.
Projects

My Projects

End-to-End Robotics Simulation

Interactive robotics simulation combining RRT* path planning with PID control for mobile robot navigation. Features real-time visualization, obstacle avoidance, and kinematic bicycle model implementation using Pygame.

View on GitHub

Embedded C++ Studies

Comprehensive C++ concurrency and embedded systems programming studies focusing on thread-safe programming, synchronization primitives, and real-time system design for ROS 2 development.

View on GitHub

ROS 2 Pure Pursuit Controller

Robust Pure Pursuit geometric path following controller for ROS 2 differential drive robots. Features adaptive look-ahead distance, rotation-in-place optimization, and seamless integration with A* planning and AMCL localization.

View on GitHub

ROS 2 AMCL Lite

Lightweight 2D Particle Filter localization node for ROS 2, inspired by AMCL algorithm. Educational implementation demonstrating core principles of probabilistic localization using LiDAR and odometry data.

View on GitHub

ROS 2 A* Path Planner

A* path planning Action Server for ROS 2 with occupancy grid maps and RViz integration. Features optimal path computation, action-based interface, and comprehensive visualization tools.

View on GitHub

ROS 2 Patrol Behavior

Autonomous patrol navigation package for ROS 2 using Nav2 stack. Loads waypoints from YAML configuration and enables robots to patrol custom routes with sequential goal navigation.

View on GitHub

KITTI Perception Playground

Advanced perception algorithms using the KITTI dataset, integrating LiDAR, camera, and radar data for robust object detection and scene understanding in autonomous vehicles.

View on GitHub

Path Planning Visualizer

Real-time path planning algorithms for autonomous navigation, ensuring safe and efficient movement in dynamic environments using sensor fusion and optimization techniques.

View on GitHub

PID Control Visualizer

Designed and tuned PID controllers for precise motion control in robotics, achieving stable and responsive performance across various robotic platforms and scenarios.

View on GitHub

Point Cloud Learning

Machine learning and deep learning methods for 3D point cloud data, including segmentation, classification, and object detection for robotics and autonomous systems.

View on GitHub

Publications

My Publications

A Unified Monocular Vision-Based Driving Model for Autonomous Vehicles with Multi-Task Capabilities

IEEE Transactions on Intelligent Vehicles, IEEE (Oct 17, 2024)

Read Paper

A Generalizable D-VIO and Its Fusion with GNSS/IMU for Improved Autonomous Vehicle Localization

IEEE Transactions on Intelligent Vehicles, IEEE (Sep 18, 2023)

Read Paper

Narrow Space Warning and Slope Control System compatible with ADAS

2023 SIU, IEEE (Jul 05, 2023)

Read Paper

Improved Dead Reckoning Localization using IMU Sensor

2022 ISETC, IEEE (Nov 10, 2023)

Read Paper

HVIOnet: A deep learning based hybrid visual–inertial odometry approach for unmanned aerial system position estimation

Neural Networks, Pergamon (Nov 01, 2023)

Read Paper

COVID-19 Isolation Control Proposal via UAV and UGV for Crowded Indoor Environments: Assistive Robots in the Shopping Malls

Frontiers in public health, Frontiers Media SA (May 31 2022)

Read Paper

The YTU dataset and recurrent neural network based visual-inertial odometry

Measurement, Elsevier (Nov 01, 2021)

Read Paper

A tutorial: Mobile robotics, SLAM, bayesian filter, keyframe bundle adjustment and ROS applications

Robot Operating System (ROS), Springer (Jul 18, 2021)

Read Paper

Performance comparison of Extreme Learning Machines and other machine learning methods on WBCD data set

2021 SIU, IEEE (Jun 09, 2021)

Read Paper

LSTM and Filter Based Comparison Analysis for Indoor Global Localization in UAVs

IEEE Access, IEEE (Jan 08, 2021)

Read Paper
Get in Touch

Contact

a.yusefi1991@gmail.com

Bosna Hersek Mah, Konya, Turkey

+90 552 246 45 10