Open nanoshimarobot opened 1 month ago
@nanoshimarobot
Since Method: annotated_pcd
case will use t4_dataset input format, I think we needed to add ground_segmentation
in here https://github.com/tier4/driving_log_replayer/blob/7c04a664f910f2038ae64abf0a78499759c153b7/driving_log_replayer_cli/simulation/run.py#L17
Issues
3 New issues
0 Accepted issues
Measures
0 Security Hotspots
0.0% Coverage on New Code
0.4% Duplication on New Code
Types of PR
Description
Add ground segmentation evaluator scenario. This evaluator has two types of ground truth data.
How to review this PR
Please download this driving_log_replayer_data for ground_segmentaion evaluation: TIERIV_INTERNAL_LINKThat data has only annotated pcd data, so please also check this annotated rosbag data: TIERIV_INTERNAL_LINKPlease download this driving_log_replayer_data for ground_segmentaion evaluation : TIERIV_INTERNAL_LINK There are separate scenario.yaml and input_bag files for each mode, as shown in the image below: Therefore, for testing, please modify each name to 'scenario.yaml' and 'input_bag/' before running the tests.
Others
When running ground_segmentation in 'annotated_rosbag' mode, it is necessary to modify the sensing module of autoware.universe as follows: https://github.com/autowarefoundation/autoware.universe/blob/main/sensing/autoware_pointcloud_preprocessor/src/filter.cpp#L383-L390
When running ground_segmentation in 'annotated_pcd' mode, it is necessary to reduce the rosbag play rate because the evaluation process takes longer than the ground_segmentation process in this mode.
dlr simulation run -p ground_segmentation --launch_args play_rate:=0.1