计算机工程2025，Vol.51Issue(2)：356-364,9.DOI:10.19678/j.issn.1000-3428.0069202
复杂环境下高速服务区禁停检测算法
Prohibited Parking Detection Algorithm for Highway Service Area in Complex Environment
摘要
Abstract
Prohibited-parking detection in highway service areas is rendered complicated by complex environments.Current algorithms based on single-vehicle information are affected by factors such as diurnal lighting changes,vehicle overlap and occlusion,and viewing-angle variations,which prevent accurate judgment of whether vehicles within the prohibited parking area are the same over consecutive time periods,thus resulting in high false-positive and-negative rates.Hence,we propose a method for prohibited-parking detection in highway service areas under complex conditions,which involves the following steps:First,the YOLOv5 vehicle-detection algorithm is used to obtain the vehicle type and location information,and an improved matching method for prohibited parking areas is proposed that effectively enhances the accuracy of target and area matching in complex environments.Second,the ConvNeXt vehicle-body-color recognition algorithm is employed to obtain the color information for vehicle targets within the prohibited parking area.Finally,a multistage control strategy for multidimensional information matching and fusion is designed that effectively reduces inaccuracies in vehicle-identity judgment caused by changes in lighting,occlusions,and viewing angles,thereby reducing false reporting and missed-detection rates in prohibited-parking detection.Experimental results show that the proposed method reduces the false-positive rate from 3.56％to0.77％and the false-negative rate from 11.3％to 2.48％on a highway service area prohibited-parking dataset.Moreover,it not only provides multi-attribute information and the parking duration of vehicles for the management of prohibited-parking behavior in service areas but also satisfies the performance requirements for multiscenario deployment in service areas,thus demonstrating its practical applicability.关键词
ConvNeXt网络/车身颜色识别/YOLOv5算法/车辆检测/禁停检测Key words
ConvNeXt network/vehicle color recognition/YOLOv5 algorithm/vehicle detection/prohibited parking detection分类
信息技术与安全科学引用本文复制引用
安国成,王晓龙,江波,幸健..复杂环境下高速服务区禁停检测算法[J].计算机工程,2025,51(2):356-364,9.基金项目
"十四五"国家重点研发计划(2023YFC3006700). （2023YFC3006700）
