Autonomous Intelligent Vehicles : Theory, Algorithms, and Implementation
Autonomous intelligent vehicles : theory, algorithms, and implementation
Autonomous Driving: Context and State-of-the-Art
Awareness of Road Scene Participants for Autonomous Driving
Introduction to Nonlinear Systems Modelling and Control
Equivalent Consumption Minimization Strategy
Nonlinear Estimation and Condition Monitoring: State-Space Approach
Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) Communications and Cooperative Driving
Formation Flight Control Scheme for Unmanned Aerial Vehicles
Open-Loop and Feedforward Nonlinear Control
LPV and State-Dependent Nonlinear Optimal Control
Intelligent Vehicle Potential and Benefits
The Laplace, Poisson, and Biharmonic Equations
State-Space Nonlinear Predictive Optimal Control
Linear and Nonlinear Predictive Optimal Control
Navigation and Tracking of Road-Bound Vehicles Using Map Support
Using Naturalistic Driving Research to Design, Test and Evaluate Driver Assistance Systems
Nonlinear Industrial Process and Power Control Applications
Nonlinear Estimation Methods: Polynomial Systems Approach
Nonlinear Quadratic Gaussian and H∞ Robust Control
Nonlinear Automotive, Aerospace, Marine and Robotics Applications
Advances in Drowsy Driver Assistance Systems Through Data Fusion
Iterative Motion Planning and Safety Issue
A Strategic Approach to Intelligent Functions in Vehicles
Optimal Control and the Linear Quadratic Regulator
Probabilistic Vehicle Motion Modeling and Risk Estimation
LPV/State-Dependent Nonlinear Predictive Optimal Control
State-Space Approach to Nonlinear Optimal Control
Nonlinear Control Law Design and Implementation
Drowsy and Fatigued Driving Problem Significance and Detection Based on Driver Control Functions
Clustering Regional-Specific Requirements as a Methodology to Define the Modules of a Car Concept