UAV-assisted IoT applications, cybersecurity threats, AI-enabled solutions, open challenges with future research directions

M Adil, H Song, S Mastorakis… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Unnamed Ariel Vehicle-assisted-Internet of Things (UAV-assisted IoT) applications have
emerged as a powerful integrated technology, showcasing remarkable results in many …

Sustainable lifecycle management for automotive development via multi-dimensional circular design framework

Y Zhang, J Chen, S Teng, H Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the continuous development of autonomous driving technology, intelligent vehicles
represented by autonomous taxis have begun to participate in the transportation system …

Motion State Estimation of Preceding Vehicles With Packet Loss and Unknown Model Parameters

Y Wang, H Chen, G Yin, Y Mo… - … ASME Transactions on …, 2024 - ieeexplore.ieee.org
Intelligent connected vehicles can perform better decision making and path planning tasks
when they obtain the accurate motion state of preceding vehicles. In this article, an event …

Learning interaction-aware motion prediction model for decision-making in autonomous driving

Z Huang, H Liu, J Wu, W Huang… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Predicting the behaviors of other road users is crucial to safe and intelligent decision-making
for autonomous vehicles (AVs). However, most motion prediction models ignore the …

[PDF][PDF] An Overview of Motion-Planning Algorithms for Autonomous Ground Vehicles with Various Applications

A Gautam, Y He, X Lin - … of Vehicle Dynamics, Stability, and NVH, 2024 - researchgate.net
With the rapid development and the growing deployment of autonomous ground vehicles
(AGVs) worldwide, there is an increasing need to design reliable, efficient, robust, and …

Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification

J Liu, X Qi, P Hang, J Sun - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
The integration of Autonomous Vehicles (AVs) into existing human-driven traffic systems
poses considerable challenges, especially within environments where human and machine …

Moving horizon fault estimation for nonlinear stochastic systems with unknown noise covariance matrices

L Sheng, S Liu, M Gao, W Huai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, the problem of fault estimation is studied for nonlinear stochastic systems with
sensor faults. The system under investigation involves stochastic noise with unknown but …

Extended state observer based dynamic iterative learning for trajectory tracking control of a six-degrees-of-freedom manipulator

J Xu, D Li, J Zhang - ISA transactions, 2023 - Elsevier
With the development of industrial automation comes an ever, broadening number of
application scenarios for manipulators along with increasing demands for their precise …

Simultaneous Robust State and Sensor Fault Estimation of Autonomous Vehicle via Synthesized Design of Dynamic and Learning Observers

S Tao, J Chen, B Zhou, H Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, a scheme for estimating system state and sensor fault based on dynamic
observer and neural network is proposed for autonomous vehicles. For simultaneous state …

Energy, Exergy, and Emissions Analyses of Internal Combustion Engines and Battery Electric Vehicles for the Brazilian Energy Mix

HNF Feliciano, FF Rovai, CEK Mady - Energies, 2023 - mdpi.com
Exergy is a thermodynamic concept that ponders the quality of energy. It evaluates the
irreversibilities of a machine, demonstrating its capacity to perform work associated with …