https://github.com/cheind/proximity-fusion
Code for "Enhanced Human-Machine Interaction by Combining Proximity Sensing with Global Perception" IROS 2019
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Scientific vocabulary similarity
Low similarity (1.5%) to scientific vocabulary
Repository
Code for "Enhanced Human-Machine Interaction by Combining Proximity Sensing with Global Perception" IROS 2019
Basic Info
- Host: GitHub
- Owner: cheind
- License: mit
- Language: Jupyter Notebook
- Default Branch: master
- Size: 663 KB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
This repository contains code that accompanies our publication
Enhanced Human-Machine Interaction by Combining Proximity Sensing with Global Perception
Christoph Heindl, Markus Ikeda, Gernot Stübl, Andreas Pichler and Josef Scharinger
IROS 2019, 2nd Workshop on Proximity Perception
Open semi-supervised-fusion.ipynb for details.
Owner
- Name: Christoph Heindl
- Login: cheind
- Kind: user
- Location: Austrian area
- Website: https://cheind.github.io/
- Repositories: 88
- Profile: https://github.com/cheind
I am a computer scientist working at the interface of perception, robotics and deep learning.
GitHub Events
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- Average comments per issue: 0
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