Behavior prediction for unmanned driving based on dual fusions of feature and decision
S Zhong, M Wei, S Gong, K Xia, Y Fu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Behavioral decision systems may suffer from poor performance due to the failure in
capturing the vibrations of environmental information. To better capture such vibrations and …
capturing the vibrations of environmental information. To better capture such vibrations and …
[HTML][HTML] Distributed artificial intelligence: Taxonomy, review, framework, and reference architecture
Artificial intelligence (AI) research and market have grown rapidly in the last few years, and
this trend is expected to continue with many potential advancements and innovations in this …
this trend is expected to continue with many potential advancements and innovations in this …
Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Computer vision applications in intelligent transportation systems (ITS) and autonomous
driving (AD) have gravitated towards deep neural network architectures in recent years …
driving (AD) have gravitated towards deep neural network architectures in recent years …
Toward a Novel RESTFUL Big Data-Based Urban Traffic Incident Data Web Service for Connected Vehicles
Connected vehicles (CVs) are an emerging technology in intelligent transportation systems.
Currently, many data-driven intelligent transportation systems (D2ITS) use CV data …
Currently, many data-driven intelligent transportation systems (D2ITS) use CV data …
A high performance hierarchical caching framework for mobile edge computing environments
S Ghosh, DP Agrawal - 2021 IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has been in the forefront recently for its ability to supplement
cloud computing. MEC servers are deployed closer to the users at the network edge in order …
cloud computing. MEC servers are deployed closer to the users at the network edge in order …
Centralized and Decentralized Signal Control with Short‐Term Origin‐Destination Demand for Network Traffic
We develop and assess centralized and decentralized signal control systems with short‐
term origin‐destination (OD) demands as inputs. Considering each intersection turning …
term origin‐destination (OD) demands as inputs. Considering each intersection turning …
Exploiting Inherent Properties of Complex Numbers for Accelerating Complex Valued Neural Networks
Since conventional Deep Neural Networks (DNNs) use real numbers as their data, they are
unable to capture the imaginary values and the correlations between real and imaginary …
unable to capture the imaginary values and the correlations between real and imaginary …
Prospects for c-v2x applications and technology evolution
S Chen, J Hu, L Zhao, R Zhao, J Fang, Y Shi… - Cellular Vehicle-to …, 2023 - Springer
Abstract C-V2X is the important enabling technology for intelligent transportation and
automated driving applications. This chapter analyzes the capabilities provided by C-V2X in …
automated driving applications. This chapter analyzes the capabilities provided by C-V2X in …
Approaches of artificial intelligence and machine learning in smart cities: Critical review
H Varshney, RA Khan, U Khan… - IOP Conference Series …, 2021 - iopscience.iop.org
Smart cities are aiming to develop a management system for growing urban cities, improve
the economy, energy consumption, and living standards of their citizens. Information and …
the economy, energy consumption, and living standards of their citizens. Information and …
Steam computing paradigm: Cross‐layer solutions over cloud, fog, and edge computing
Conventional infrastructures based on the cloud are not sufficient for the emerging Internet
of Things (IoT) applications requirements. Many big problems are shortcomings, especially …
of Things (IoT) applications requirements. Many big problems are shortcomings, especially …