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Found 5 papers, 1 papers with code
SGNet: Salient Geometric Network for Point Cloud Registration
These high-order features are then propagated to dense points and utilized by a Sinkhorn matching module to identify key correspondences for successful registration.
Implicit Obstacle Map-driven Indoor Navigation Model for Robust Obstacle Avoidance
Robust obstacle avoidance is one of the critical steps for successful goal-driven indoor navigation tasks. Due to the obstacle missing in the visual image and the possible missed detection issue, visual image-based obstacle avoidance techniques still suffer from unsatisfactory robustness.
Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation
Our method decouples the translation from the entire transformation by predicting the object center and estimating the rotation in a center-aware manner.
Semantics-Guided Moving Object Segmentation with 3D LiDAR
Instead of segmenting the moving objects directly, the network conducts single-scan-based semantic segmentation and multiple-scan-based moving object segmentation in turn.
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators
We further found that any CNN possessing the same TI kernel property for all convolution layers followed by a flatten layer with weight sharing among their transformation corresponding elements would output the same result for all transformation versions of the original input vector.
