notes

Notes

Research papers

The exported data from Zotero are available in the following format:

• GitHub readable
• Zotero importable
• BibTex

Results & Slides

Results are in results.md and slides for various presentations are in the slides folder.

The slides use marp-cli (especially the docker image) to create presentations using markdown. For instance, here is the command to create the traversability slides docker run --rm --init -v $PWD:/home/marp/app/ -e LANG=$LANG -e MARP_USER="$(id -u):$(id -g)" marpteam/marp-cli notes/slides/traversability/slides.md --pdf --allow-local-files

Useful links

• UAV Datasets
  • https://github.com/OpenDroneMap/ODMdata
    • https://hub.dronedb.app/r/odm/aukerman
    • https://github.com/zivillian/odm_ziegeleipark/tree/master
    • https://drive.google.com/file/d/12UrLDHA6iZFJYF7OkErccH_xanRHefoZ/view
    • https://drive.google.com/file/d/1faBtGK7Jm5lTo_UWLz6onDGYGzqlykHPa/view
    • https://drive.google.com/file/d/11yFommuRZyVXADcYEIjf-qz3AZrA8M6E/view
  • https://arxiv.org/pdf/2501.18351 (fpv)
• Camp de Beynes:
  • Geoportail : https://remonterletemps.ign.fr/telecharger/?lon=1.889434&lat=48.860337&z=13.4&layer=pva&couleur=C&year=2013
  • Google Maps : https://maps.app.goo.gl/zCesePWSyXjnszSf7
• Similarity of images
  • https://github.com/lbrejon/Compute-similarity-between-images-using-CNN?tab=readme-ov-file
  • https://pubs.aip.org/aip/acp/article-abstract/3092/1/040015/3270019/Similar-image-retrieval-using-convolutional-neural?redirectedFrom=fulltext
  • https://deeplobe.ai/image-similarity-using-deep-cnn-theory-to-code/
  • https://medium.com/@f.a.reid/image-similarity-using-feature-embeddings-357dc01514f8
• Meshroom https://github.com/alicevision/Meshroom
• Labelme https://github.com/wkentaro/labelme
• marp-cli (markdown slides) https://github.com/marp-team/marp-cli