Point clouds acquired through laser scanning and stereo vision techniques have been
applied in a wide range of applications, proving to be optimal sources for map** 3D urban …

Nowadays, point clouds acquired through laser scanning and stereo matching have
deemed to be one of the best sources for map** urban scenes. Spatial coordinates of 3-D …

We propose 3DETR, an end-to-end Transformer based object detection model for 3D point
clouds. Compared to existing detection methods that employ a number of 3D-specific …

For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

This paper introduces a new DBSCAN-based method for boundary detection and plane
segmentation for 3D point clouds. The proposed method is based on candidate samples …

For intelligent robots to interact in meaningful ways with their environment, they must
understand both the geometric and semantic properties of the scene surrounding them. The …

Automatic 3D plane segmentation is necessary for many applications including point cloud
registration, building information model (BIM) reconstruction, simultaneous localization and …

We present an algorithm for detecting planar primitives from unorganized 3D point clouds.
Departing from an initial configuration, the algorithm refines both the continuous plane …

A great number of visual simultaneous localization and map** (VSLAM) systems need to
assume static features in the environment. However, moving objects can vastly impair the …

Plane detection is a key component for many applications, such as industrial reverse
engineering and self-driving cars. However, existing plane-detection techniques are …