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Advanced Sensing and Safety Control for Connected and Automated Vehicles

Connected and automated vehicles (CAVs) are a transformative technology expected to change and improve the safety and efficiency of mobile vehicles. As the main functional components of CAVs, advanced sensing technologies and control algorithms, which gather environmental information, process data,...

Whakaahuatanga katoa

I tiakina i:
Hōputu: Online
Reo:Ingarihi
I whakaputaina: MDPI - Multidisciplinary Digital Publishing Institute 2025
Ngā marau:
model-free adaptive feedback
sliding mode control
path tracking
autonomous vehicle
recursive least squares
forgetting factor
Lyapunov stability
autonomous vehicles
multimodal driving datasets
LiDAR
driver biometric data
air turbulence error
CFD simulation
multi-rotor UAVs
meteorological observation
vehicle anonymization
IoVs
pseudonym consumption
adversary
BSM
traceability
4WID-4WIS EVs
trajectory tracking control
multi-objective coordinated control
mutant particle swarm optimization (MPSO)
vehicle localization
Kalman filter
ADAS
kinematic model
GPS
TLA
ITS
system dynamics
driverless vehicles
future transportation
transport policy
smart mobility
tracked vehicles
engine output torque prediction model
GA–BP neural network
estimation of rolling resistance coefficient
full-field sensing
compressive sensing
multi-agent system
mobile sensors
formation control
structural health monitoring
eco-driving
ecological cooperative adaptive cruise control
velocity trajectory
dynamic programming
traffic simulation
testing
edge case generation
scenario-based testing
parametric representation
data-driven method
takeover
stabilization
conditionally automated driving
driving simulator
user study
physiology
electric vehicle
weight distribution
active safety systems
wheel slip controller
torque vectoring
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general
Urunga tuihono:ONIX_20250812T095121_9783725826599_5
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Whakarāpopototanga:Connected and automated vehicles (CAVs) are a transformative technology expected to change and improve the safety and efficiency of mobile vehicles. As the main functional components of CAVs, advanced sensing technologies and control algorithms, which gather environmental information, process data, and control vehicle motion, are of great importance. The development of novel sensing technologies for CAVs has become a research hot spot in recent years. Thanks to improved sensing technologies, CAVs can interpret sensory information to detect obstacles, localize their positions, navigate, and interact with vehicles in the surrounding dynamic environment. Further, by leveraging computer vision and other sensing methods, these vehicles can recognize in-cabin human body activities, facial emotions, and mental states.

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