دسته بندی:
بینایی ماشین - Machine vision
سال انتشار:
2022
عنوان انگلیسی مقاله:
A systematic review on computer vision-based parking lot management applied on public datasets
ترجمه فارسی عنوان مقاله:
مرور سیستماتیک مدیریت پارکینگ مبتنی بر بینایی ماشین اعمال شده بر روی مجموعه داده های عمومی
منبع:
ScienceDirect- Elsevier- Expert Systems With Applications, 198 (2022) 116731: doi:10:1016/j:eswa:2022:116731
نویسنده:
Paulo Ricardo Lisboa de Almeida
چکیده انگلیسی:
Computer vision-based parking lot management methods have been extensively researched upon owing to their
flexibility and cost-effectiveness. To evaluate such methods authors often employ publicly available parking lot
image datasets. In this study, we surveyed and compared robust publicly available image datasets specifically
crafted to test computer vision-based methods for parking lot management approaches and consequently
present a systematic and comprehensive review of existing works that employ such datasets. The literature
review identified relevant gaps that require further research, such as the requirement of dataset-independent
approaches and methods suitable for autonomous detection of position of parking spaces. In addition, we have
noticed that several important factors such as the presence of the same cars across consecutive images, have
been neglected in most studies, thereby rendering unrealistic assessment protocols. Furthermore, the analysis
of the datasets also revealed that certain features that should be present when developing new benchmarks,
such as the availability of video sequences and images taken in more diverse conditions, including nighttime
and snow, have not been incorporated.
keywords: Parking lot | Dataset | Benchmark | Machine learning | Image processing
قیمت: رایگان
توضیحات اضافی:
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