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👋 Hello ! I’m @Doriankmf

I'm currently a PhD student working on the theme of robotic perception. I am working at the Modélisation, Information & Systèmes laboratory (MIS laboratory) in Amiens, France, more precisely in the "Perception Robotique" team (Robotics Perception) and I will also working at the CNRS-AIST JRL laboratory from 2025 to 2026. The aim of this thesis is to find a method for using non-static parts of a scene to improve the accuracy and completeness of 3D point clouds in multi-sensor and multi-robot mapping of large buildings and infrastructures.

👀 I’m interested in Robotics Perception ! More precisely: 3D reconstruction, 3D point clouds registration, Visual SLAM, Visual Odometry, SLAM

💭 I’m currently learning: Registration of large 3D point clouds in a multi-robot and multi-sensor context

📫 How to reach me: [email protected]

Linkedin: www.linkedin.com/in/dorian-kempf-0b694b1b3

Dorian KEMPF's Projects

color_icp icon color_icp

Implementation of ICCV 2017: Colored Point Cloud Registration Revisited

evo icon evo

Python package for the evaluation of odometry and SLAM

gh-icp icon gh-icp

GH-ICP: Iterative Closest Point algorithm with global optimal matching and hybrid metric [3DV' 18]

i-octree icon i-octree

[ICRA2024] Implementation of A Fast, Lightweight, and Dynamic Octree for Proximity Search

simpleicp icon simpleicp

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

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