Nov 13, 2021 · The proposed control design approach finds the optimal vehicle speed trajectory with the goal of achieving a safe and efficient platoon of ...
One application of cooperative driving is Cooperative Adaptive Cruise Control. (CACC) that aims at enhancing highway transportation safety and capacity. Model- ...
A discrete hybrid stochastic model predictive control, which incorporates system modes as well as uncertainties captured by GP models is presented, ...
Sep 7, 2024 · One application of cooperative driving is Cooperative Adaptive Cruise Control (CACC) that aims at enhancing highway transportation safety and ...
The proposed control design approach finds the optimal vehicle speed trajectory with the goal of achieving a safe and efficient platoon of vehicles with small ...
Nov 10, 2021 · Gaussian Process based Stochastic Model Predictive Control for Cooperative Adaptive Cruise Control. Citation Details. Title: Gaussian Process ...
This paper proposes a novel framework for addressing the challenge of autonomous overtaking and obstacle avoidance, which incorporates the overtaking path ...
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What is model predictive control for stochastic systems?
What is adaptive model predictive control?
The output of such a model is a multivariate Gaussian distribution conditioned on all discrete variables. By incorporation of a discrete switching variable, ...
In this work, we propose a combined Gaussian Pro- cess (GP) and stochastic Model Predictive Control (MPC) method, which allows to actively overtake other race ...
Missing: Cooperative Adaptive Cruise
Oct 22, 2024 · Gaussian Process-based Model Predictive Controller for Connected Vehicles with Uncertain Wireless Channel. Conference Paper. Full-text ...