I will build a lidar based hierarchical localization hloc pipeline

R
rukon_uddeen
R
rukon_uddeen
Rukon Uddin
build a lidar based hierarchical localization hloc pipeline
build a lidar based hierarchical localization hloc pipeline
Full Screen
build a lidar based hierarchical localization hloc pipelinebuild a lidar based hierarchical localization hloc pipeline

About this gig

LiDAR Hierarchical Localization (HLoc) Expert


Need an accurate localization system using LiDAR point cloud maps?

I can develop a complete Hierarchical Localization (HLoc) pipeline that localizes camera images or sensor data within a pre-built LiDAR map. Whether you're working on autonomous robots, drones, warehouse automation, airport navigation, or research projects, I can help build a robust localization solution.


What I can do

LiDAR map generation

Hierarchical Localization (HLoc)

Image-to-LiDAR localization

Point cloud processing

Feature extraction and matching

Pose estimation (6DoF)

ROS/ROS2 integration

FAST-LIVO2 integration

Camera-LiDAR calibration

GPS-free localization

Visual localization

Sensor fusion

Python and C++ implementation

Deliverables

  • Complete source code
  • Installation guide
  • Documentation
  • Test results
  • Demo video (optional)
  • Deployment support

Tools & Technologies

  • HLoc
  • COLMAP
  • PyTorch
  • OpenCV
  • ROS / ROS2
  • FAST-LIVO2
  • Python
  • C++
  • Docker
  • LiDAR point cloud processing

Why work with me?

  • 4+ years of AI and Computer Vision experience
  • Professional experience in robotics and localization
  • Strong background in LiDAR and visual localization
  • Clean, well-documented code
  • Fast communicat

  • AI engine

    • PyTorch
    • YOLO
    • Other

  • Programming language

    • C++
    • Python
    • PyTorch
    • Tensorflow
    • Keras

Get to know Rukon Uddin

Rukon Uddin

AI Engineer

  • FromBangladesh
  • Member sinceJul 2026
  • Avg. response time1 hour

  • Languages

    English, Arabic, Spanish
AI/ML engineer with 5 years building the harder side of applied AI: LiDAR SLAM, sensor fusion, and vision-language model deployment on edge hardware. I built a LiDAR-based 3D mapping pipeline (FAST-LIVO2) fusing LiDAR, IMU, and camera data, plus a vision-based navigation system for visually impaired users running live at Hong Kong Airport on minimal VRAM. I specialize in making it run fast and reliably on real hardware. Top 4% finisher, TensorFlow-sponsored Kaggle competition. Robotics, sensor fusion, real-time systems, or edge deployment — let's talk.

Other AI Development Services I Offer

Related tags