In this paper, we propose a new 3D two-stage object detection method based on point cloud and image fusion to improve the detection accuracy.
In this paper, we propose a new 3D two-stage object detection method based on point cloud and image fusion to improve the detection accuracy.
This paper proposes a new 3D two-stage object detection method based on point cloud and image fusion to improve the detection accuracy and performs ...
Dec 21, 2021 · We design a point cloud completion module to predict the spatial shape of objects in the candidate boxes and extract the structural information ...
We propose a novel spatial information enhancement module (SIE) to predict the dense shapes of point sets in candidate boxes, and learn the structure ...
Dec 3, 2021 · We design a point cloud completion module to predict the spatial shape of objects in the candidate boxes and extract the structural information ...
This network aims to minimize information loss, establish spatial relationships in LiDAR point clouds, and extract accurate foreground features.
Currently, structure-based methods can convert point cloud features into denser features, allowing them to learn features of the space not occupied by the ...
Mar 29, 2021 · Specifically, we design the Spatial Information Enhancement (SIE) module to predict the spatial shapes of the foreground points within proposals ...
Our LI-Fusion module operates on LiDAR point and camera image directly and effectively enhances the point features with corresponding semantic im- age features ...