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Advances in Intelligent Vehicle Control
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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.
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Keywords
- 3D multiple object detection
- active air suspension
- ADAS
- binary linear programming
- binary quadratic programming
- controller area network
- curriculum learning
- cybersecurity
- deep learning
- discrete-time sliding-mode current control (DSMCC)
- disturbance observer design
- double lane change
- driver vehicle system
- dynamic SLAM
- electric vehicle (EV)
- Electric vehicles
- electrical vehicles
- energy management
- Environment Perception
- EV charging scheduling
- GNSS receivers
- heterogeneous networking
- heterogeneous vehicular communication
- high efficiency
- History of engineering & technology
- Image processing
- in-vehicle network
- inertial sensors
- intelligent mobility
- Internet of connected vehicles
- Internet of Things
- intrusion detection
- Kalman filter
- LQR controller
- Machine learning
- model-based control
- motorcycle lean angle
- Multiple Object Tracking
- n/a
- noninverting buckâboost converter
- nonlinear height control
- output constraints
- random road excitation
- reinforcement learning
- roll angle estimator
- RTK corrections
- safety optimization
- Semantics
- sensor redundancy
- sim-to-real world
- Technology, engineering, agriculture
- Technology: general issues
- transfer learning
- tyre thermodynamics
- tyre wear
- vehicle control
- vehicle dynamic potential
- vehicle localization
- vehicle safety
- Vehicular Ad Hoc Networks
- VMS
- weather influence
- wide bandwidth control