Search Results for author:
Found 9 papers, 7 papers with code
G3Reg: Pyramid Graph-based Global Registration using Gaussian Ellipsoid Model
Utilizing these GEMs, we then present a distrust-and-verify scheme based on a Pyramid Compatibility Graph for Global Registration (PAGOR).
Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap
In this paper, we propose a graph-theoretic framework to address the problem of global point cloud registration with low overlap.
PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
Vision-based grasp estimation is an essential part of robotic manipulation tasks in the real world.
Economic Dispatch of an Integrated Microgrid Based on the Dynamic Process of CCGT Plant
Intra-day economic dispatch of an integrated microgrid is a fundamental requirement to integrate distributed generators.
Improved Radar Localization on Lidar Maps Using Shared Embedding
We present a heterogeneous localization framework for solving radar global localization and pose tracking on pre-built lidar maps.
Radar-to-Lidar: Heterogeneous Place Recognition via Joint Learning
Place recognition is critical for both offline mapping and online localization.
DiSCO: Differentiable Scan Context with Orientation
In this paper, we propose a LiDAR-based place recognition method, named Differentiable Scan Context with Orientation (DiSCO), which simultaneously finds the scan at a similar place and estimates their relative orientation.
RaLL: End-to-end Radar Localization on Lidar Map Using Differentiable Measurement Model
In this paper, we propose an end-to-end deep learning framework for Radar Localization on Lidar Map (RaLL) to bridge the gap, which not only achieves the robust radar localization but also exploits the mature lidar mapping technique, thus reducing the cost of radar mapping.
LocNet: Global localization in 3D point clouds for mobile vehicles
Global localization in 3D point clouds is a challenging problem of estimating the pose of vehicles without any prior knowledge.
