Abstract: To address the issue of low accuracy in 3D point cloud registration, we present a novel iterative closest point (ICP) algorithm for point registration using the stochastic differential ...

Abstract: This article presents an efficient and robust estimator called compatibility-guided sampling consensus (CG-SAC) to achieve accurate 3-D point cloud registration. For correspondence-based ...

Abstract: In this work, the exact solution to the mean value theorem problem applied to the maximum power point (MPP) calculation is presented; besides, an improvement to this solution is developed ...

Abstract: One of the main tasks of a wideband reconnaissance receiver is to measure the carrier frequency and direction-of-arrival (DOA) rapidly once the radar signal is intercepted. To address the ...

Abstract: Due to the unbalanced three-phase currents and the torque ripples and speed fluctuations to the drive caused by the current sampling errors of three-phase current sensors and corresponding ...

Abstract: This paper proposes a dynamic path planning method based on discrete optimization applied to suburban highways or expressways. We optimize the generated candidate points according to the ...

Abstract: We present a method that plans motions for a concentric tube robot to automatically reach surgical targets inside the body while avoiding obstacles, where the patient’s anatomy is ...

Abstract: Neural radiance fields (NeRFs) have gained great success in 3-D representation and novel-view synthesis, which attracted great efforts devoted to this area. However, when rendering ...

Abstract: Low sampling frequency challenges the exact identification of continuous-time (CT) dynamical systems from sampled data, even when their models are identifiable. A necessary and sufficient ...

Preliminary analysis rules out a lab leak as the cause of an African swine fever outbreak that has rocked Spain's lucrative pork industry, but further tests are needed, authorities said Tuesday.

Abstract: The ability to grasp objects is an essential skill that enables many robotic manipulation tasks. Recent works have studied point cloud-based methods for object grasping by starting from ...

Abstract: Implicit Neural Representations (INRs), capable of learning the mapping between sampling coordinates and occupancy statuses to effectively represent 3D content, are increasingly adopted in ...