Photogrammetry & Robotics Bonn
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semantic_suma
Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)
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depth_clustering
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor. -
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catkin_tools_fetch
🐕 "fetch" and "update" dependencies of projects in your catkin workspace with a new verb "dependencies" for catkin_tools -
visual-crop-row-navigation
Visual-servoing based navigation for monitoring row-crop fields.
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semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
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bonnetal
Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
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lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
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bonnet
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.
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rangenet_lib
Inference module for RangeNet++ (milioto2019iros, chen2019iros)
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fast_change_detection
Fast Image-Based Geometric Change Detection Given a 3D Model
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refusion
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
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ipb_homework_checker
✔️ A generic homework checker that we use to automatically check students homework -
ipb_workspace
An empty default workspace for development inside IPB lab
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vpr_relocalization
The framework for visual place recognition in changing enviroments. Matches two sequence of images of arbitrary trajectory overlap.
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geometrical_stem_detection
Code for fast and accurate geometrical plant stem detection
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pybonirob
Set of tools to access bonirob datasets in Python
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online_place_recognition
Graph-based image sequences matching for the visual place recognition in changing environments.
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goPro-meta
App to sample images from goPro Hero 5 video and syncronize sensor frames to them. Output is yaml file and extracted images.