vdbfusion_ros
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using the KITTI dataset are not as good as those in the paper.
Hi,Thank you very much for making this excellent work available. However, I encountered some issues while using it. The results obtained using the KITTI dataset are not as good as those presented in the paper. I hope you can provide some guidance.
Result(former is mine, latter is paper)
platform ubuntu20.04;Ros1
dataset i use the kitti2bag tool generate a *.bag file (kitti_2011_09_26_drive_0039_synced.bag) https://www.cvlibs.net/datasets/kitti/raw_data.php?type=residential
parameter parameter use the default /config/KITTI.yaml
voxel_size: 0.05 sdf_trunc: 0.1 space_carving: False
fill_holes: True min_weight: 3.0
apply_pose: True preprocess: True min_range: 1.0 max_range: 75.0 pcl_topic: "/kitti/velo/pointcloud"
use_tf_transforms: true parent_frame: "world" child_frame: "base_link" timestamp_tolerance_ns: 10000000
I hope you can provide some guidance. Thank you very much!