Current 3D single object tracking approaches track the target based on a feature
comparison between the target template and the search area. However, due to the common …

Siamese network based trackers formulate 3D single object tracking as cross-correlation
learning between point features of a template and a search area. Due to the large …

Towards 3D object tracking in point clouds, a novel point-to-box network termed P2B is
proposed in an end-to-end learning manner. Our main idea is to first localize potential target …

ViSP (Visual Servoing Platform), a fully functional modular architecture that allows fast
development of visual servoing applications, is described. The platform takes the form of a …

LiDAR-based 3D single object tracking is a challenging issue in robotics and autonomous
driving. Currently, existing approaches usually suffer from the problem that objects at long …

Background In the continuous world view, images are modeled as functions on a domain⊂
Rn. Geometric entities like curves and surfaces are manifolds, which can be described as …

This paper deals with the shape control of a passive tether that links underwater vehicles.
The pair of robots is composed of a leader that explores the environment, and a follower that …

We present a 3D model-based visual tracking approach using edge and keypoint features in
a particle filtering framework. Recently, particle-filtering-based approaches have been …

Object tracking is an important issue for research and application related to visual servoing
and more generally for robot vision. In this paper, we address the problem of realizing visual …

Learning discriminative target-specific feature representation for object localization is the
core of the 3D Siamese object tracking algorithms. Current Siamese trackers focus on …