MPC Builder for Autonomous Drive: Automatic Generation of MPCs for Motion Planning and Control

10/29/2022
by   Kohei Honda, et al.
0

This study presents a new framework for vehicle motion planning and control based on the automatic generation of model predictive controllers (MPC) named MPC Builder. In this framework, several components necessary for MPC, such as models, constraints, and cost functions, are prepared in advance. The MPC Builder then online generates various MPCs according to traffic situations in a unified manner. This scheme enabled us to represent various driving tasks with minimal design effort. The proposed framework was implemented considering the continuation/generalized minimum residual (C/GMRES) method optimization solver, which can reduce computational costs. Finally, numerical experiments on multiple driving scenarios were presented.

READ FULL TEXT

page 1

page 5

page 6

research
08/09/2021

Design and Experimental Evaluation of a Hierarchical Controller for an Autonomous Ground Vehicle with Large Uncertainties

Autonomous ground vehicles (AGVs) are receiving increasing attention, an...
research
02/07/2023

MPC-based Motion Planning for Autonomous Truck-Trailer Maneuvering

Time-optimal motion planning of autonomous vehicles in complex environme...
research
01/13/2023

Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control

Autonomous vehicles (AVs) must share the driving space with other driver...
research
08/30/2023

Learning the References of Online Model Predictive Control for Urban Self-Driving

In this work, we propose a novel learning-based online model predictive ...
research
04/20/2022

Risk-Averse Receding Horizon Motion Planning

This paper studies the problem of risk-averse receding horizon motion pl...
research
09/04/2023

Motion Cueing Algorithm for Effective Motion Perception: A frequency-splitting MPC Approach

Model predictive control (MPC) is a promising technique for motion cuein...

Please sign up or login with your details

Forgot password? Click here to reset