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Visualize 3D objects and useful informations onto the 2D image #2867

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3 of 5 tasks
kaancolak opened this issue Feb 10, 2023 · 8 comments
Open
3 of 5 tasks

Visualize 3D objects and useful informations onto the 2D image #2867

kaancolak opened this issue Feb 10, 2023 · 8 comments
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component:perception Advanced sensor data processing and environment understanding. (auto-assigned) status:stale Inactive or outdated issues. (auto-assigned) type:new-feature New functionalities or additions, feature requests.

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@kaancolak
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kaancolak commented Feb 10, 2023

Checklist

  • I've read the contribution guidelines.
  • I've searched other issues and no duplicate issues were found.
  • I've agreed with the maintainers that I can plan this task.

Description

Visualize useful autoware topics onto the 2D image.

Example topics:

  • 3D Bounding boxes of objects
  • Trajectory of the ego vehicle
  • Road boundaries

Purpose

Enhance debug options and increase the visualization capacity of autoware.

Possible approaches

Create module will subscribe to relevant topics and image/camera_info messages. Transform relevant information to the image plane and visualize on in the 2D image.

Definition of done

  • Module implemented
  • Documentation prepared
@kaancolak kaancolak self-assigned this Feb 10, 2023
@kaancolak kaancolak added component:perception Advanced sensor data processing and environment understanding. (auto-assigned) type:new-feature New functionalities or additions, feature requests. labels Feb 10, 2023
@kaancolak kaancolak changed the title Visualize 3D objects and road information onto the 2D image Visualize 3D objects and useful informations onto the 2D image Feb 10, 2023
KYabuuchi pushed a commit to KYabuuchi/autoware.universe that referenced this issue Feb 16, 2023
Signed-off-by: Takagi, Isamu <isamu.takagi@tier4.jp>

Signed-off-by: Takagi, Isamu <isamu.takagi@tier4.jp>
@stale
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stale bot commented Apr 11, 2023

This pull request has been automatically marked as stale because it has not had recent activity.

@stale stale bot added the status:stale Inactive or outdated issues. (auto-assigned) label Apr 11, 2023
@miursh
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miursh commented May 9, 2023

Is rviz camera tool not enough for your usecase?
It shows like the pic below
image

@xmfcx
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xmfcx commented Jun 14, 2023

@miursh does it not lag behind? Can you also share a video recording of perception boxes projected onto images?

@stale stale bot removed the status:stale Inactive or outdated issues. (auto-assigned) label Jun 14, 2023
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stale bot commented Aug 15, 2023

This pull request has been automatically marked as stale because it has not had recent activity.

@stale stale bot added the status:stale Inactive or outdated issues. (auto-assigned) label Aug 15, 2023
@kaancolak kaancolak removed their assignment Jun 27, 2024
@palas21 palas21 self-assigned this Jun 27, 2024
@stale stale bot removed the status:stale Inactive or outdated issues. (auto-assigned) label Jun 27, 2024
@xmfcx xmfcx moved this to In Progress in Autoware Labs Jun 27, 2024
@palas21
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palas21 commented Jul 10, 2024

I’ve implemented a solution. You can see it in this video.

@palas21
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palas21 commented Jul 16, 2024

Here you can see the result of the same bag with the rviz camera plugin.

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stale bot commented Sep 14, 2024

This pull request has been automatically marked as stale because it has not had recent activity.

@stale stale bot added the status:stale Inactive or outdated issues. (auto-assigned) label Sep 14, 2024
@stale stale bot removed the status:stale Inactive or outdated issues. (auto-assigned) label Oct 4, 2024
@xmfcx xmfcx removed this from Autoware Labs Oct 4, 2024
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stale bot commented Dec 4, 2024

This pull request has been automatically marked as stale because it has not had recent activity.

@stale stale bot added the status:stale Inactive or outdated issues. (auto-assigned) label Dec 4, 2024
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Labels
component:perception Advanced sensor data processing and environment understanding. (auto-assigned) status:stale Inactive or outdated issues. (auto-assigned) type:new-feature New functionalities or additions, feature requests.
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4 participants