| Summary: | A multicamera system for detecting cars and mapping them into parking spaces in a parking lot is described in this study. A limited number of sequences and without more difficult reality conditions (illumination changes and various weather conditions) were used to evaluate approaches from a cutting-edge system that function correctly under controlled conditions. However, the majority of them only provide parts of systems, typically detectors, rather than the entire system. The proposed system was made to work in real-world situations that take into account a variety of occlusion scenarios, changes in lighting, and weather. For the purpose of design and validation, a brand-new multicamera data set was recorded. Two of the system’s object detector results are shown, and several provided postprocessing stages are used to build the system. The findings clearly indicate that the suggested method works appropriately in demanding settings such as near entire occlusions, lighting variations, and varying weather conditions.
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