Analysis based on CNN for Automated Vehicle Parking Occupancy

DOI

説明

The remarkable growth of the automobile industry, along with a lack of urban planning, exacerbated problems such as traffic congestion, air pollution and driving difficulties. The majority of car manufacturers have a preinstalled or aftermarket navigation device in vehicles to make it easier for customers. This helps drivers to travel to their destination with ease. However, a rough estimate of the remaining distance to the destination is given by navigation systems. With the latest advancement in technology, companies are interested to find out whether these advancements can assist in reducing the time spent to search for empty parking space. Locating a vacant parking spot is a big predicament that drivers face because looking for it is a tiring operation. Our investigations have shown that, in contrast with previous methods, for the purpose of classifying given parking spaces as empty or occupied, the current solution is more robust, stable and well-generalized for unseen images taken from entirely separate camera points of view, which has clear signs that it can easily generalize to other parking lots.

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390006750772183424
  • DOI
    10.5954/icarob.2021.os4-2
  • ISSN
    21887829
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
  • 抄録ライセンスフラグ
    使用不可

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