Vehicle Tracking Using Lane Cameras for Personalized Parking Guidance

Real-time monitoring of vehicle movements within a parking lot is crucial for creating a personalized parking guidance service. This applied research proposes using lane cameras to monitor vehicle dynamics, employing YOLOv8-based license plate object tracking and character recognition to determine the real-time location and movement direction of vehicles, while achieving cross-camera object tracking capabilities. With this critical information, the parking management system can provide tailored parking guidance instructions for each vehicle, reducing the burden on drivers to locate available parking spaces and contributing to lower carbon emissions.

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Publication Details

Published
2025-03-29
DOI
https://doi.org/10.1109/icct-pacific63901.2025.11012806
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Vehicle Tracking Using Lane Cameras for Personalized Parking Guidance

Changwen Zheng, Chi-Yi Lin
Autonomous Vehicle Technology and Safety
article

Vehicle Tracking Using Lane Cameras for Personalized Parking Guidance

Changwen Zheng, Chi-Yi Lin
article en

Abstract

Real-time monitoring of vehicle movements within a parking lot is crucial for creating a personalized parking guidance service. This applied research proposes using lane cameras to monitor vehicle dynamics, employing YOLOv8-based license plate object tracking and character recognition to determine the real-time location and movement direction of vehicles, while achieving cross-camera object tracking capabilities. With this critical information, the parking management system can provide tailored parking guidance instructions for each vehicle, reducing the burden on drivers to locate available parking spaces and contributing to lower carbon emissions.

Tamkang University (TW)
Openalex Percentile: Top 88%
Autonomous Vehicle Technology and Safety
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