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Article

Multi-Sensor Information Ensemble-Based Automatic Parking System for Vehicle Parallel/Nonparallel Initial State

1
School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2
Department of Electrical and Computer Engineering, Inha University, 100 Inha-ro Michuhol-gu, Incheon 22212, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Felipe Jiménez
Sensors 2021, 21(7), 2261; https://doi.org/10.3390/s21072261
Received: 7 January 2021 / Revised: 4 March 2021 / Accepted: 10 March 2021 / Published: 24 March 2021
(This article belongs to the Special Issue Internet of Things, Smart Sensing and Data Fusion in Smart City)
The goal of automatic parking system is to accomplish the vehicle parking to the specified space automatically. It mainly includes parking space recognition, parking space matching, and trajectory generation. It has been developed enormously, but it is still a challenging work due to parking space recognition error and trajectory generation for vehicle nonparallel initial state with parking space. In this study, the authors propose multi-sensor information ensemble for parking space recognition and adaptive trajectory generation method, which is also robust to vehicle nonparallel initial state. Both simulation and real vehicle experiments are conducted to prove that the proposed method can improve the automatic parking system performance. View Full-Text
Keywords: automatic parking system; parking space recognition; parking space matching; trajectory generation automatic parking system; parking space recognition; parking space matching; trajectory generation
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MDPI and ACS Style

Piao, C.; Zhang, J.; Chang, K.; Li, Y.; Liu, M. Multi-Sensor Information Ensemble-Based Automatic Parking System for Vehicle Parallel/Nonparallel Initial State. Sensors 2021, 21, 2261. https://doi.org/10.3390/s21072261

AMA Style

Piao C, Zhang J, Chang K, Li Y, Liu M. Multi-Sensor Information Ensemble-Based Automatic Parking System for Vehicle Parallel/Nonparallel Initial State. Sensors. 2021; 21(7):2261. https://doi.org/10.3390/s21072261

Chicago/Turabian Style

Piao, Changhao, Jun Zhang, KyungHi Chang, Yan Li, and Mingjie Liu. 2021. "Multi-Sensor Information Ensemble-Based Automatic Parking System for Vehicle Parallel/Nonparallel Initial State" Sensors 21, no. 7: 2261. https://doi.org/10.3390/s21072261

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