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Related Experiment Video

Updated: Nov 10, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

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

Changhao Piao¹, Jun Zhang¹, KyungHi Chang²

¹School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Sensors (Basel, Switzerland)

|April 3, 2021

Summary

This summary is machine-generated.

This study introduces a multi-sensor approach for improved automatic parking systems. The method enhances parking space recognition and trajectory generation, even for vehicles not initially aligned with the space.

Keywords:

automatic parking system parking space matching parking space recognition trajectory generation

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Area of Science:

Robotics and Autonomous Systems
Computer Vision
Control Engineering

Background:

Automatic parking systems aim for automated vehicle maneuvering into designated spaces.
Key challenges include accurate parking space recognition and robust trajectory generation, especially for non-parallel initial vehicle states.

Purpose of the Study:

To propose a novel multi-sensor information ensemble for enhanced parking space recognition.
To develop an adaptive trajectory generation method that is robust to non-parallel initial vehicle states.
To improve the overall performance of automatic parking systems.

Main Methods:

Utilized a multi-sensor information ensemble for improved parking space recognition.
Developed an adaptive trajectory generation algorithm accounting for non-parallel initial conditions.
Validated the proposed methods through both simulation and real-world vehicle experiments.

Main Results:

The multi-sensor ensemble significantly improved parking space recognition accuracy.
The adaptive trajectory generation method demonstrated robustness for vehicles in non-parallel initial states.
Experimental results confirmed enhanced automatic parking system performance.

Conclusions:

The proposed multi-sensor information ensemble and adaptive trajectory generation method effectively address key challenges in automatic parking.
The approach offers a robust solution for automated parking, even under difficult initial vehicle orientations.