Processor-in-the-Loop Validation of a Gradient Descent-Based Model Predictive Control for Assisted Driving and Obstacles Avoidance Applications
For safety-critical applications, the validation process using a model-based approach plays an increasingly important role. In this paper we propose the application of a predictive control algorithm, entirely implemented in low-level code, to the use case of assisted driving of four-wheel vehicles....
Main Authors: | Pierpaolo Dini, Sergio Saponara |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9805740/ |
Similar Items
-
Vehicle-in-the-Loop in Global Coordinates for Advanced Driver Assistance System
by: Changwoo Park, et al.
Published: (2020-04-01) -
Advanced Driving Assistance Systems for an Electric Vehicle
by: Pau Muñoz-Benavent, et al.
Published: (2012-12-01) -
MPC-Based Obstacle Avoidance Path Tracking Control for Distributed Drive Electric Vehicles
by: Hongchao Wu, et al.
Published: (2022-11-01) -
A Dynamic Path-Planning Method for Obstacle Avoidance Based on the Driving Safety Field
by: Ke Liu, et al.
Published: (2023-11-01) -
Modeling commercial vehicle drivers’ acceptance of advanced driving assistance system (ADAS)
by: Yueru Xu, et al.
Published: (2021-12-01)