Around-View-Monitoring-Based Automatic Parking System Using Parking Line Detection
Source abstract
Abstract
This paper introduces an automatic parking method using an around view monitoring system. In this method, parking lines are extracted from the camera images, and a route to a targeted parking slot is created. The vehicle then tracks this route to park. The proposed method extracts lines from images using a line filter and a Hough transform, and it uses a convolutional neural network to robustly extract parking lines from the environment. In addition, a parking path consisting of curved and straight sections is created and used to control the vehicle. Perpendicular, angle, and parallel parking paths can be created; however, parking control is applied according to the shape of each parking slot. The results of our experiments confirm that the proposed method has an average offset of 10.3 cm and an average heading angle error of 0.94°.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Smart Parking Systems Research · Vehicle License Plate Recognition · Autonomous Vehicle Technology and Safety
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Litbig, Seongnam-Si 13487, Korea
Department of Electronic Engineering, College of Convergence Technology, Korea National University of Transportation, Chungju-Si 27469, Korea
Funding
Ministry of Trade, Industry Energy(MOTIE, Korea) · Ministry of Trade, Industry, and Energy (MOTIE, Korea) · Ministry of Education under Grant
References (37)
Show source-provided references
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