Aiming at the problems of low stability of path planning, inability to avoid dynamic obstacles,
and long path planning for multi unmanned aerial vehicles (UAV) in mountainous …

This paper presents an effective trajectory generation algorithm to shorten and smooth the
jerky paths obtained from the sampling-based planners in cluttered environments. We utilize …

The removal of defects from fruit and vegetable is conducive to improving resource
utilization and reducing environmental pollution. However, it has been neglected by …

In symmetric two-port probing system, the measured electromagnetic field signals can be
decoupled. However, in practical application, asymmetric problem is difficult to avoid. So …

For the path planning of quad-rotor UAVs, the traditional RRT* algorithm has weak
exploration ability, low planning efficiency, and a poor planning effect. A TD-RRT* algorithm …

Finding the optimal parameterization for fitting a given sequence of data points with a
parametric curve is a challenging problem that is equivalent to solving a highly non-linear …

This paper proposes a deep learning approach for parameterizing an unorganized or
scattered point cloud in R 3 with graph convolutional neural networks. It builds upon a graph …

Surface reconstruction from scattered point clouds is the process of generating surfaces from
unstructured data configurations retrieved using an acquisition device such as a laser …

Parametric curve fitting which includes curve approximation and interpolation is a critical
topic in many fields, such as medical images, 3D reconstruction and data visualization, etc …

The detection of elongated structures like lines or edges is an essential component in
semantic image analysis. Classical approaches that rely on significant image gradients …