Multi-sensor information ensemble-based automatic parking system for vehicle parallel/nonparallel initial state

Changhao Piao, Jun Zhang, Kyunghi Chang, Yan Li, Mingjie Liu

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

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.

Original languageEnglish
Article number2261
JournalSensors
Volume21
Issue number7
DOIs
StatePublished - 1 Apr 2021

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Automatic parking system
  • Parking space matching
  • Parking space recognition
  • Trajectory generation

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