This paper introduces the Scaled Coordinate Transformation Boundary Elem...
Factor graph represents the factorization of a probability distribution
...
With the advancement of robotics and AI technologies in the past decade,...
Raman spectroscopy (RS) has been widely used for disease diagnosis, e.g....
Artificial intelligence-enabled histopathological data analysis has beco...
As Deep Neural Networks (DNNs) are increasingly deployed in safety criti...
Infrastructure-Vehicle Cooperative Autonomous Driving (IVCAD) is a new
p...
Factor graph is a graph representing the factorization of a probability
...
The commercialization of autonomous machines is a thriving sector, and l...
Influencing factors on crashes involved with autonomous vehicles (AVs) h...
For large-scale discrete-time algebraic Riccati equations (DAREs) with
h...
A quadratic dynamical system with practical applications is taken into
c...
Time synchronization is a critical task in robotic computing such as
aut...
The infrastructure-vehicle cooperative autonomous driving approach depen...
PerceptIn develops and commercializes autonomous vehicles for micromobil...
Recent researches on robotics have shown significant improvement, spanni...
Adaptive optics (AO) corrected flood imaging of the retina is a popular
...
The subsurface flow is usually subject to uncertain porous media structu...
Bundle adjustment (BA) is a fundamental optimization technique used in m...
To simultaneously enable multiple autonomous driving services on afforda...
Generating structured query language (SQL) from natural language is an
e...
Modern vehicles are equipped with more and more sophisticated computer
m...
Enabling full robotic workloads with diverse behaviors on mobile systems...
Simultaneous Localization And Mapping (SLAM) is the problem of construct...