… hierarchical controller for autonomous racing where the same vehicle model is used in a two
level optimization framework for motion planning. … model predictive path following controller …

… since a longer distance and time horizon is necessary for racing circuits with … a hierarchical
motion planning and control architecture for autonomous racing which ensures long planning …

… Contribution: We contribute by deriving and evaluating a sample efficient and safe motion
planning algorithm for autonomous race-cars. It includes a novel cost function formulation for …

… motion planning, and a real-time simulator test, comparing the proposed algorithm with
the performance of a professional driver. The results obtained showed that the computational …

… hierarchical behavior and motion planning (HBMP) to explicitly model the behavior in
learningbased solution. Due to the coupled action space of behavior and motion… motion planner, …

… It is difficult to generate optimized behavior decisions while considering the motion …
hierarchical reinforcement learning approach for autonomous decision making and motion planning …

… We explore two approaches for the low-level path planner: training a multi-agent reinforcement
learning (MARL) policy and solving a linear-quadratic Nash game (LQNG) approximation…

… Based on the path planning model, in a second step, we propose a hierarchical racing
controller, which uses the strength of the path planning model in an upper level to generate a set …

… motion planning, and a real-time simulator test, comparing the proposed algorithm with
the performance of a professional driver. The results obtained showed that the computational …

… motion planning and control of a black-box racing vehicle model. We present a hierarchical
… Virtual Driver, that autonomously learns and then drives a black-box racing car model near …