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
Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) Communications and Cooperative Driving
Linear and Nonlinear Predictive Optimal Control
Using Naturalistic Driving Research to Design, Test and Evaluate Driver Assistance Systems
LPV and State-Dependent Nonlinear Optimal Control
State-Space Nonlinear Predictive Optimal Control
Optimal Control and the Linear Quadratic Regulator
Navigation and Tracking of Road-Bound Vehicles Using Map Support
Open-Loop and Feedforward Nonlinear Control
Formation Flight Control Scheme for Unmanned Aerial Vehicles
Advances in Drowsy Driver Assistance Systems Through Data Fusion
Nonlinear Automotive, Aerospace, Marine and Robotics Applications
Iterative Motion Planning and Safety Issue
Nonlinear Estimation and Condition Monitoring: State-Space Approach
A Strategic Approach to Intelligent Functions in Vehicles
State-Space Approach to Nonlinear Optimal Control
Nonlinear Control Law Design and Implementation
Nonlinear Industrial Process and Power Control Applications
Nonlinear Estimation Methods: Polynomial Systems Approach
Nonlinear Quadratic Gaussian and H∞ Robust Control
Intelligent Vehicle Potential and Benefits
LPV/State-Dependent Nonlinear Predictive Optimal Control
Drowsy and Fatigued Driving Problem Significance and Detection Based on Driver Control Functions
The Laplace, Poisson, and Biharmonic Equations