facebookresearch / facebookresearch/localrf

Generating a Longer Road Point Cloud from Multiple Frames

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Dominant language
Python
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Forks
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Description

After running it, I got the results, including the depth map, RGB map, and transforms.json. I can extract the point cloud for each frame. How can I generate a longer road point cloud? Should I align all the point clouds?

Appreciate.

Contributor guide

Open the contributing guide

Research direction

Start by reviewing the generated depth map, RGB map, and transforms.json for one frame, then compare the per-frame point-cloud extraction process across the video. Determine whether the existing outputs provide enough information to align frames into a longer road point cloud. Done would require a documented, reproducible multi-frame reconstruction approach, but the issue names no files or tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
computer-vision, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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