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 (2 years ago)

Commits 19 (last one about a year ago)

Stargazers 78 (0 this week)

Watchers 13 (0 this week)

Forks 3

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RepositoryStats indexes 579,555 repositories, of these csiro-robotics/Wild-Places is ranked #341,042 (41st percentile) for total stargazers, and #165,293 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #63,698/115,123.

csiro-robotics/Wild-Places is also tagged with popular topics, for these it's ranked: deep-learning (#5,629/8344), dataset (#707/1130), benchmark (#494/752), point-cloud (#268/420), lidar (#197/288)

Other Information

csiro-robotics/Wild-Places has Github issues enabled, there are 3 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: 2024-10-26 @ 06:07pm, id: 536866108 / R_kgDOH__tPA