csiro-robotics / Wild-Places

🏞️ [IEEE ICRA2023] The official repository for paper "Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments" To appear in 2023 IEEE International Conference on Robotics and Automation (ICRA)

Date Created 2022-09-15 (about a year ago)

Commits 19 (last one about a year ago)

Stargazers 68 (0 this week)

Watchers 13 (0 this week)

Forks 3

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Ranking

RepositoryStats indexes 534,551 repositories, of these csiro-robotics/Wild-Places is ranked #352,146 (34th percentile) for total stargazers, and #161,162 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #64,745/103,470.

csiro-robotics/Wild-Places is also tagged with popular topics, for these it's ranked: deep-learning (#5,719/7827), dataset (#728/1057), benchmark (#480/669), point-cloud (#271/398), lidar (#190/260)

Other Information

csiro-robotics/Wild-Places has Github issues enabled, there are 2 open issues and 7 closed issues.

Homepage URL: https://csiro-robotics.github.io/Wild-Places/

All Topics

lidar dataset benchmark point-cloud loop-closure deep-learning place-recognition natural-environments

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19 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-04-30 @ 01:43am, id: 536866108 / R_kgDOH__tPA