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augustin-bresset/README.md

Hello

Currently a research intern at U2IS, working on traversability estimation for autonomous robots.

Take a look at Apairo, a tool I'm currently developing for robotics data pipelines.

And here some tools for labeling robot's data :

Some tech I work with

Main

Python OpenCV NumPy Pandas Matplotlib Keras scikit-learn PyTorch

Framework

ROS Odoo Django SQLite FastAPI

Tools

Docker GIT Visual Studio Code Shell Script LINUX C C++ LaTeX MySQL OCaml

Profile



Codingame

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  1. apairo-robotics/apairo apairo-robotics/apairo Public

    Persistent preprocessing, dataset composition and caching for large robotics datasets. — synchronous (SemanticKITTI, GOOSE, Rellis-3D) and asynchronous (TartanDrive, KITTI) layouts with built-in pr…

    Python 1

  2. geo-maurice geo-maurice Public

    Interactive geospatial accessibility analysis tool for Mauritius, combining OpenStreetMap, WorldPop data and custom friction models to compute service access scores.

    JavaScript

  3. tartan_drive_2.0 tartan_drive_2.0 Public

    Forked from castacks/tartan_drive_2.0

    Python

  4. traversability_labeling traversability_labeling Public

    Given the geometry of your robot, labels as traversable the points in the point cloud through which its trajectory passes.

    Python

  5. splasher splasher Public

    Label synchronized channels — 3D point clouds, camera images — into a top-down BEV grid or per-point labels.

    Python

  6. toaster toaster Public

    Annotate lidar point clouds in 3D — run a model, click one cluster, label the whole group at once.

    Python