Advanced deceleration control considering driving resistance by predicting the position of pedestrians

Yusuke Nakamura; Toshiyuki Murakami

doi:10.1541/ieejjia.8.334

Advanced deceleration control considering driving resistance by predicting the position of pedestrians

Yusuke Nakamura, Toshiyuki Murakami

Department of System Design Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

This study aims to realize an automated deceleration system to avoid the collision of a vehicle with a pedestrian. The proposed system can predict a pedestrian’s future position from the current position, and detect the collision probability. Furthermore, the controller employing model predictive control, which can compensate the driving resistance and the modeling error is also proposed. The effectiveness of the proposed method is verified through a simulation and experiment.

Original language	English
Pages (from-to)	334-341
Number of pages	8
Journal	IEEJ Journal of Industry Applications
Volume	8
Issue number	2
DOIs	https://doi.org/10.1541/ieejjia.8.334
Publication status	Published - 2019

Keywords

Autonomous Emergency Braking System (AEBS)
Driving Force Observer (DFOB)
Kalman filter
Model Predictive Control (MPC)

ASJC Scopus subject areas

Automotive Engineering
Energy Engineering and Power Technology
Mechanical Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1541/ieejjia.8.334

Cite this

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abstract = "This study aims to realize an automated deceleration system to avoid the collision of a vehicle with a pedestrian. The proposed system can predict a pedestrian{\textquoteright}s future position from the current position, and detect the collision probability. Furthermore, the controller employing model predictive control, which can compensate the driving resistance and the modeling error is also proposed. The effectiveness of the proposed method is verified through a simulation and experiment.",

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AB - This study aims to realize an automated deceleration system to avoid the collision of a vehicle with a pedestrian. The proposed system can predict a pedestrian’s future position from the current position, and detect the collision probability. Furthermore, the controller employing model predictive control, which can compensate the driving resistance and the modeling error is also proposed. The effectiveness of the proposed method is verified through a simulation and experiment.

KW - Autonomous Emergency Braking System (AEBS)

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KW - Kalman filter

KW - Model Predictive Control (MPC)

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Advanced deceleration control considering driving resistance by predicting the position of pedestrians

Abstract

Keywords

ASJC Scopus subject areas

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