Displacement cloud maps. by Maogang Tian (21485116)

Subjects:

Point cloud fusion instance effect. by Hongliang Zou (20707270)

“…<div><p>The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”

Displacement cloud map (geology). by Hui Cheng (195456)

HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

“…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”

Schematic diagram of time stamp synchronization between LIDAR and camera in a multi-sensor system. by Hongliang Zou (20707270)

Cephalometric measurement points. by Lijuan Liu (136685)

Subjects:

Positioning errors of different algorithms on the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

Specific parameters of the test sequence in the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

(A) Auxiliary marking points to ensure complete and accurate seating of the prosthesis. by Long Li (6555)

Subjects:

The technical route of the study. by Hongliang Zou (20707270)

“…<div><p>The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”

Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

“…<div><p>The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”

Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

Selection of soil particle sampling points. by Xueting Ma (390540)

Subjects:

PAP I point mutations lead to a decrease in pYV PCN, plasmid stability, and T3SS activity. by Katherine Schubert (5452712)

Thematic clouds for lectures. by Ignacio García-Espona (21395335)

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. Bias decreases with increasing neurons in the population. …”

Structure model predictions of wildtype and A398E/V and M1425V/I Ca_V3.3 channels. by Yousra El Ghaleb (22075892)

Sampling point (Source: by Yonggang Huang (223155)

Guidelines and policy changes for different alert levels in Gauteng. The time intervals are separated by points of inflection identified in Edholm <i>et al</i>. [10]; these points... by Folashade B. Agusto (3663010)

“…[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0325619#pone.0325619.ref010" target="_blank">10</a>]; these points separate time periods where the rate of cumulative cases was increasing from periods when the rate of cumulative cases was decreasing [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0325619#pone.0325619.ref010" target="_blank">10</a>], Fig 1]. …”

Data Sheet 1_An autonomous navigation method for orchard mobile robots based on octree 3D point cloud optimization.docx by Hailong Li (216327)

“…Field experiments were conducted in a pear orchard based on this method. The experimental results show that: 1) The overall number of point cloud data points in the map was reduced by approximately 76.32%, while important features, including tree morphology, trellis structure, and road surface information, were fully preserved. 2) When different octree node resolutions were applied, the improved RRT* algorithm demonstrated significant improvements in path generation time, sampling point utilization, path length, and curvature. …”