1 - 9 of 9 articles
Based on an in-depth survey of the literature, the purpose of the paper
is to explore Internet of Things-sensing tools, data processing and smart mobility
technologies, and self-driving car control algorithms. In this research, previous
findings were cumulated showing that self-driving cars...
The aim of this systematic review is to synthesize and analyze virtual
simulation and geospatial mapping tools, computer vision and path planning
algorithms, and autonomous vehicle interaction control software. With increasing
evidence of data simulation and optimal trajectory planning tools,...
In this article, we cumulate previous research findings indicating that
smart transportation networks deploy route planning and visual perception algorithms,
predictive urban analytics, and cognitive data fusion techniques. We contribute
to the literature on data modeling and mobility simulation...
The present study systematically reviews the existing research on geospatial
mapping and simulation modeling tools, environment and vehicle sensors,
and crash avoidance technologies. My findings clarify that interconnected sensor
networks integrate visual recognition and image processing tools,...
This article reviews and advances existing literature concerning computer
vision and route planning algorithms, sensing and computing technologies, and
vehicle and pedestrian detection tools. Throughout June 2022, a quantitative
literature review of the Web of Science, Scopus, and ProQuest...
Despite the relevance of autonomous vehicle driving algorithms,
behavior tracking and virtual data modeling tools, and image recognition and urban
sensing technologies, only limited research has been conducted on this topic. In this
article, I cumulate previous research findings indicating that...
The purpose of this study is to examine road environment data, tracking
control and spatial cognition algorithms, and virtual navigation and simulation
modeling tools. In this article, I cumulate previous research findings indicating that
urban transportation systems leverage autonomous vehicle...
The objective of this paper is to systematically review connected
vehicle data, spatial recognition technologies, and machine learning and computer
vision algorithms. The findings and analyses highlight that autonomous mobility
technologies leverage vehicle and pedestrian detection tools, road...
We draw on a substantial body of theoretical and empirical research
on smart infrastructure sensors, deep learning-based autonomous driving and data
processing technologies, and spatio-temporal fusion algorithms. In this research,
prior findings were cumulated indicating that monitoring and...
Read and print from thousands of top scholarly journals.
Continue with Facebook
Log in with Microsoft
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Sign Up Log In
To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one.
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.