yudhisteer / Point-Clouds-3D-Perception-with-Open3D

Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, and perform surface reconstruction on point clouds.

Date Created 2023-06-22 (about a year ago)

Commits 94 (last one 11 months ago)

Stargazers 46 (0 this week)

Watchers 1 (0 this week)

Forks 7

License unknown

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RepositoryStats indexes 579,238 repositories, of these yudhisteer/Point-Clouds-3D-Perception-with-Open3D is ranked #479,628 (17th percentile) for total stargazers, and #532,159 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #91,793/115,001.

yudhisteer/Point-Clouds-3D-Perception-with-Open3D is also tagged with popular topics, for these it's ranked: point-cloud (#358/420), 3d-reconstruction (#345/386), lidar (#244/288), autonomous-vehicles (#155/179), drone (#140/158)

Other Information

yudhisteer/Point-Clouds-3D-Perception-with-Open3D has Github issues enabled, there is 1 open issue and 0 closed issues.

All Topics

drone lidar lidar-data pointcloud point-cloud 3d-reconstruction lidar-point-cloud autonomous-vehicles lidar-object-tracking

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

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The only known language in this repository is Python

updated: 2024-10-22 @ 09:31am, id: 657233488 / R_kgDOJyyWUA