Search Results for author:
Found 4 papers, 4 papers with code
KISS-Matcher: Fast and Robust Point Cloud Registration Revisited
While global point cloud registration systems have advanced significantly in all aspects, many studies have focused on specific components, such as feature extraction, graph-theoretic pruning, or pose solvers.
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions
A key challenge for autonomous vehicles is to navigate in unseen dynamic environments.
Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR Scans
We propose a novel approach that builds on top of an arbitrary single-scan panoptic segmentation network and extends it to the temporal domain by associating instances across time.
Ranked #5 on
4D Panoptic Segmentation
on SemanticKITTI
RangeNet++: Fast and Accurate LiDAR Semantic Segmentation
Perception in autonomous vehicles is often carried out through a suite of different sensing modalities.
Ranked #19 on
Robust 3D Semantic Segmentation
on SemanticKITTI-C
