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I've searched other issues and no duplicate issues were found.
I'm convinced that this is not my fault but a bug.
Description
I’m using a slightly older version of Autoware, “2024.07,” and I’m encountering an issue where the number of predicted objects becomes 0.
After investigating, I found that the detection results stop due to the following behavior, which causes the number of predicted objects to become 0.
What I would like to ask about is item 2 below. If possible, I would appreciate it if you could let me know where the likely cause might be. Alternatively, if this has already been fixed, I would appreciate it if you could share the relevant link.
In scan_ground_filter, the point clouds from item 1 are supposed to be removed, but in rare cases they are not.
In occupancy_grid_map_outlier_filter, the filter process is skipped when the number of lower_confidence_pc points exceeds max_filter_points_nb, but a similar issue to item 1 occurs, causing point clouds to be added at the origin of the map.
When the point clouds from item 3 are input, euclidean_cluster takes several tens of seconds to process it, which causes the detection results to stop.
Expected behavior
In item 2 above, the point clouds at the origin of base_link should always be removed.
Actual behavior
In item 2 above, the point clouds at the origin of base_link are sometimes not removed, which leads to the issue described in item 4.
Steps to reproduce
I believe it can be reproduced if ring_outlier_filter is used in sensor_kit's lidar.launch.xml. However, it has only been reproduced in specific locations.
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Description
I’m using a slightly older version of Autoware, “2024.07,” and I’m encountering an issue where the number of predicted objects becomes 0.
After investigating, I found that the detection results stop due to the following behavior, which causes the number of predicted objects to become 0.
What I would like to ask about is item 2 below. If possible, I would appreciate it if you could let me know where the likely cause might be. Alternatively, if this has already been fixed, I would appreciate it if you could share the relevant link.
Expected behavior
In item 2 above, the point clouds at the origin of base_link should always be removed.
Actual behavior
In item 2 above, the point clouds at the origin of base_link are sometimes not removed, which leads to the issue described in item 4.
Steps to reproduce
I believe it can be reproduced if ring_outlier_filter is used in sensor_kit's lidar.launch.xml. However, it has only been reproduced in specific locations.
Versions
Possible causes
No response
Additional context
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