Deepot: Parking Lot Identification Using Low-Resolution Satellite Imagery

dc.contributor.authorDing, Xianzhong
dc.contributor.authorHong, Wanshi
dc.contributor.authorAn, Zhiyu
dc.contributor.authorWang, Bin
dc.contributor.authorDu, Wan
dc.date.accessioned2024-12-26T21:09:04Z
dc.date.available2024-12-26T21:09:04Z
dc.date.issued2025-01-07
dc.description.abstractDetecting parking lots is essential for siting electric truck charging infrastructure, ensuring convenient access for drivers. However, the private ownership of many parking lots limits public access to information for planners. Current object detection methods rely heavily on high-resolution satellite imagery, which is often restricted in availability. To address this, we introduce Deepot, a deep learning-based truck parking location identification approach using low-resolution satellite imagery. We begin by retrieving geographical data for the target area and optimizing image resolution for model training. The model produces initial parking lot locations, which are then converted to real global latitude and longitude coordinates using a custom coordinate reference systems transformer. These global coordinates facilitate querying Google Maps for high-resolution images to enhance detection performance. Deepot streamlines charging infrastructure planning from diverse satellite imagery and offers additional, high-fidelity candidate locations to medium- and heavy-duty infrastructure planning tool, HEVI-LOAD. Extensive experiments show the effectiveness of Deepot.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.639
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other7b396067-1a5c-4295-b53a-7ce9f0f82752
dc.identifier.urihttps://hdl.handle.net/10125/109487
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLocation Intelligence Research in System Sciences
dc.subjectdeep learning, electric truck charging infrastructure, low-resolution satellite imagery, object detection, parking lot detection
dc.titleDeepot: Parking Lot Identification Using Low-Resolution Satellite Imagery
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage5315

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