Visual obstacle discovery is a key step towards autonomous navigation of indoor mobile
robots. Successful solutions have many applications in multiple scenes. One of the exceptions …

To improve the construction performance and seismic resilience of precast reinforced-concrete
frame structures, an innovative self-centering precast steel–concrete hybrid frame has …

The high performance of RGB-D based road segmentation methods contrasts with their rare
application in commercial autonomous driving, which is owing to two reasons: 1) the prior …

Lightweight structures are extensively utilized in various applications that demand exceptional
mechanical properties and low densities, such as aerospace, vehicles, and construction …

In view of the potential demand for the materials with excellent dynamic mechanical behavior
in protective construction, the dynamic tensile mechanical properities and deformation …

In this paper, a novel classifier, called superimposed sparse parameter (SSP) classifier is
proposed for face recognition. SSP is motivated by two phase test sample sparse …

Learning topic information from large-scale unstructured text has attracted extensive attention
from both the academia and industry. Topic models, such as LDA and its variants, are a …

Motivated by the idea that the correlation structure of the entire training set can disclose the
relationship between the test sample and the training samples, we propose the combined …

Abstract: In order to efficiently organize and manage the increasing real-time sensor data and
associations, and satisfy the requirements of multi-level tasks for multi-dimensional feature …

An innovative post-tensioned hybrid beam-column connection with a web friction device (PTH-WFD)
was proposed to mitigate concrete crushing of precast members and to avoid the …