The problem of electric vehicle charging: State-of-the-art and an innovative solution
ON Nezamuddin, CL Nicholas… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper presents a comprehensive literature review with focus on the difficulties electric
vehicles (EVs) face to charge the battery while on a trip, and proposes a solution without the …
vehicles (EVs) face to charge the battery while on a trip, and proposes a solution without the …
[HTML][HTML] A review of occluded objects detection in real complex scenarios for autonomous driving
Autonomous driving is a promising way to future safe, efficient, and low-carbon
transportation. Real-time accurate target detection is an essential precondition for the …
transportation. Real-time accurate target detection is an essential precondition for the …
Multi-sensor fusion in automated driving: A survey
Z Wang, Y Wu, Q Niu - Ieee Access, 2019 - ieeexplore.ieee.org
With the significant development of practicability in deep learning and the ultra-high-speed
information transmission rate of 5G communication technology will overcome the barrier of …
information transmission rate of 5G communication technology will overcome the barrier of …
Secure transmission scheme based on joint radar and communication in mobile vehicular networks
Vehicle-to-vehicle (V2V) communication applications face significant challenges to security
and privacy since all types of possible breaches are common in connected and autonomous …
and privacy since all types of possible breaches are common in connected and autonomous …
Jamming and eavesdropping defense scheme based on deep reinforcement learning in autonomous vehicle networks
As a legacy from conventional wireless services, illegal eavesdropping is regarded as one
of the critical security challenges in Connected and Autonomous Vehicles (CAVs) network …
of the critical security challenges in Connected and Autonomous Vehicles (CAVs) network …
A computationally efficient path-following control strategy of autonomous electric vehicles with yaw motion stabilization
This article proposes a computationally efficient path-following control strategy of
autonomous electric vehicles (AEVs) with yaw motion stabilization. First, the nonlinear …
autonomous electric vehicles (AEVs) with yaw motion stabilization. First, the nonlinear …
Driving-induced neurological biomarkers in an advanced driver-assistance system
Physiological signals are immediate and sensitive to neurological changes resulting from
the mental workload induced by various driving environments and are considered a …
the mental workload induced by various driving environments and are considered a …
Achieving Personalized -Anonymity-Based Content Privacy for Autonomous Vehicles in CPS
Enabled by the industrial Internet, intelligent transportation has made remarkable
achievements such as autonomous vehicles by carnegie mellon university (CMU) Navlab …
achievements such as autonomous vehicles by carnegie mellon university (CMU) Navlab …
Post-accident cyberattack event analysis for connected and automated vehicles
Smart mobility is an imperative facet of smart cities, and the transition of conventional
automotive systems to connected and automated vehicles (CAVs) is envisioned as one of …
automotive systems to connected and automated vehicles (CAVs) is envisioned as one of …
Sine resistance network-based motion planning approach for autonomous electric vehicles in dynamic environments
This article proposes a motion planning approach for autonomous electric vehicles to
generate an appropriate planned path according to the time-varying surrounding …
generate an appropriate planned path according to the time-varying surrounding …