Huaran Yan

TL;DR: This work proposes the ADP (Adaptive-threshold Douglas-Peucker) algorithm, which no longer relies on ship static information and makes it easier to determine the threshold, which is what traditional algorithms cannot achieve.

TL;DR: Wang et al. as discussed by the authors proposed a novel ship trajectory clustering method for finding Overall and Local Features of Ship Trajectories, which consists of four parts: 1) segment the trajectory with the ADP (Adaptive-threshold Douglas-Peucker) algorithm; 2) adopt new sub-trajectory segments similarity measurement method which considers both the wholeness and locality of the trajectory; 3) cluster the sub-trachory segments with the improved FOP-OPTICS (Finding of the Ordering Peaks Based on OPTICS); 4) identify sub-

TL;DR: In this article , a tracking controller on the basis of parameters optimization was proposed for unmanned surface vehicles (USVs) taking into account the unique nonlinear and large inertia characteristics of USVs, an iterative sliding mode control (ISMC) was adopted to construct the controller including the USVs' main engine speed controller to determine the longitudinal velocity and the steering controller to control the lateral displacement.

TL;DR: Wang et al. as mentioned in this paper analyzed the collision process of ship striking the anti-collision pier through simulation experiment and found that collision process usually lasted less than 2 seconds, and the peak value of the collision force, friction and resultant force appears 0.5 after the start of collision.