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

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

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Automatic parking trajectory planning in narrow spaces based on Hybrid A* and NMPC.Scientific reports · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Changhao PiaoSchool of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Jun ZhangSchool of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

KyungHi ChangDepartment of Electrical and Computer Engineering, Inha University, 100 Inha-ro Michuhol-gu, Incheon 22212, Korea.ORCID 0000-0002-2565-5391

Yan LiDepartment of Electrical and Computer Engineering, Inha University, 100 Inha-ro Michuhol-gu, Incheon 22212, Korea.

Mingjie LiuSchool of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

automatic parking systemparking space matchingparking space recognitiontrajectory generation

Identifiers

PMID33804891

DOI10.3390/s21072261

PMCPMC8037424

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.