FPGA accelerated model predictive control for autonomous driving

FPGA accelerated model predictive control for autonomous driving

Purpose – The purpose of this paper is to reduce the difficulty of model predictive control (MPC) deployment on FPGA so that researchers can make better use of FPGA technology for academic research. Design/methodology/approach – In this paper, the MPC algorithm is written into FPGA by combining hard...

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Bibliographic Details
Main Authors: Yunfei Li, Shengbo Eben Li, Xingheng Jia, Shulin Zeng, Yu Wang
Format: Article
Language:English
Published: Tsinghua University Press 2022-05-01
Series:Journal of Intelligent and Connected Vehicles
Subjects:
fpga
model predictive control
autonomous driving
zynq
Online Access:https://www.emerald.com/insight/content/doi/10.1108/JICV-03-2021-0002/full/pdf?title=fpga-accelerated-model-predictive-control-for-autonomous-driving

Internet

https://www.emerald.com/insight/content/doi/10.1108/JICV-03-2021-0002/full/pdf?title=fpga-accelerated-model-predictive-control-for-autonomous-driving

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