… an instance of a mixed-integer quadratic program (MIQP). Exact resolution algorithms are
known to solve such problems, leading to a globally optimal trajectory which can then be fed to …

… Also separating longitudinal and lateral control yields sub-optimal solutions and limits the …
Linear Programming formulation, leveraging its capability of yielding an optimal solution. That …

… Most research approximates the objects as circles or ellipses and formulate the optimization
problem into a nonlinear optimal programming in Refs. [17, 18]. However, the computation …

… We develop optimal control strategies for Autonomous … cultural expectations of reasonable
driving behavior. We formulate … involves a sequence of quadratic programs. We also showed …

… Solving optimal control problems serves as the basic demand of industrial control tasks. …
a significant amount of theoretical knowledge and programming skills. Besides, many of them …

… , dubbed the optimal-ratio control scheme (ORCS), is formulated as a bi-level program. At the
upper … The bi-level program is then formulated as a mathematical program with equilibrium …

… autonomous driving tasks, where the optimal control input can be generated in a receding
horizon fashion by predicting the future evolution of the systems [3]. For example, Borrelli et al. …

… situations such as Electronic Stability Program ESP, are … error is autonomous driving which
means driving without driver. … As autonomous driving in this work is based on optimal control, …

… autonomous driving by formalizing a mathematical model. There are various types of problems
in autonomous driving … answer the ethical problems of autonomous driving. Hence, this …

… control problems, where each iteration involves a sequence of quadratic programs. We …
to pass/fail possible autonomous vehicle behaviors against prioritized driving rules. We also …