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Advances in Intelligent Vehicle Control
Abstract
This book is a printed edition of the Special Issue Advances in Intelligent Vehicle Control that was published in the journal Sensors. It presents a collection of eleven papers that covers a range of topics, such as the development of intelligent control algorithms for active safety systems, smart sensors, and intelligent and efficient driving. The contributions presented in these papers can serve as useful tools for researchers who are interested in new vehicle technology and in the improvement of vehicle control systems- nonlinear height control
- active air suspension
- output constraints
- random road excitation
- disturbance observer design
- electric vehicles
- in-vehicle network
- controller area network
- cybersecurity
- intrusion detection
- deep learning
- transfer learning
- model-based control
- vehicle dynamic potential
- tyre thermodynamics
- tyre wear
- weather influence
- vehicle safety
- double lane change
- safety optimization
- noninverting buck–boost converter
- high efficiency
- wide bandwidth control
- discrete-time sliding-mode current control (DSMCC)
- electric vehicle (EV)
- driver vehicle system
- energy management
- vehicle localization
- GNSS receivers
- RTK corrections
- sensor redundancy
- VMS
- machine learning
- ADAS
- image processing
- environment perception
- semantics
- 3D multiple object detection
- multiple object tracking
- dynamic SLAM
- roll angle estimator
- Kalman filter
- LQR controller
- inertial sensors
- motorcycle lean angle
- electrical vehicles
- EV charging scheduling
- binary linear programming
- binary quadratic programming
- vehicle control
- reinforcement learning
- curriculum learning
- sim-to-real world
- intelligent mobility
- heterogeneous vehicular communication
- Internet of connected vehicles
- vehicular ad hoc networks
- heterogeneous networking
- Internet of Things
- n/a
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Last time updated on 10/12/2022
This paper was published in Directory of Open Access Books (DOAB).
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