Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …

Abstract Development of Artificial Intelligence (AI) is inherently tied to the development of
data. However, in most industries data exists in form of isolated islands, with limited scope of …

Featured Application This paper contains a comprehensive review of the current state-of-the-
art machine vision algorithms used to build a pipeline towards assisted driving and fully …

The current autonomous driving architecture places a heavy burden in signal processing for
the graphics processing units (GPUs) in the car. This directly translates into battery drain and …

Edge Computing and Network Function Virtualization (NFV) concepts can improve network
processing and multi-resources allocation when intelligent optimization algorithms are …

It appears clear that the future of road transport is going through enormous changes
(intelligent transport systems), the main one being the Intelligent Vehicle (IV). Automated …

The present teaching relates to method, system, medium, and implementation of a global
model update center. At least one model is established at the model update center for …

Field Programmable Gate Arrays (FPGAs) plays an increasingly important role in data
sampling and processing industries due to its highly parallel architecture, low power …

The present teaching relates to method, system, medium, and implementation of in-situ
perception in an autonomous driving vehicle. A plurality of types of sensor data are acquired …

Due to the high complexity of constructing exact k-nearest neighbor graphs, approximate
construction has become a popular research topic. The NN-Descent algorithm is one of the …