robust 3d object detection for moving objects based on pointpillars
Published 1 year ago • 166 plays • Length 4:56Download video MP4
Download video MP3
Similar videos
-
3:53
deep sliding shapes for amodal 3d object detection in rgb-d images
-
1:02
lidar-based online 3d video object detection with graph-based message passing and spatiotemporal...
-
1:00
dsgn: deep stereo geometry network for 3d object detection
-
5:01
what you see is what you get: exploiting visibility for 3d object detection
-
1:01
a hierarchical graph network for 3d object detection on point clouds
-
3:56
multi-view 3d object detection network for autonomous driving | spotlight 4-2b
-
1:01
pointpainting: sequential fusion for 3d object detection
-
1:01
pv-rcnn: point-voxel feature set abstraction for 3d object detection
-
5:00
3dssd: point-based 3d single stage object detector
-
2:53
robust 3d object detection in cold weather conditions | itsc 2023
-
4:48
339 - cross-modality 3d object detection
-
15:15
towards robust 3d object recognition with dense-to-sparse deep domain adaptation
-
0:11
super fast and accurate 3d object detection based on 3d lidar point clouds
-
1:02
frustum pointpillars 3d object detection | anshul paigwar | iccv 2021 workshop autonomous vehicle.
-
1:01
sparse pointpillars - 1 minute overview
-
2:42
roarnet: a robust 3d object detection based on region approximation refinement
-
1:04
joint 3d instance segmentation and object detection for autonomous driving
-
1:00
hvnet: hybrid voxel network for lidar based 3d object detection
-
1:01
structure aware single-stage 3d object detection from point cloud