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http://hdl.handle.net/2080/4150
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DC Field | Value | Language |
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dc.contributor.author | Patra, Jayaprakash | - |
dc.contributor.author | Panda, Satyajit | - |
dc.contributor.author | Negi, Vipul Singh | - |
dc.contributor.author | Chinara, Suchismita | - |
dc.date.accessioned | 2023-12-20T04:53:43Z | - |
dc.date.available | 2023-12-20T04:53:43Z | - |
dc.date.issued | 2023-11 | - |
dc.identifier.citation | 6th IFIP International Internet of Things (IOT) Conference, Dallas-Fort Worth Metroplex, Texas, USA, 2-3 November 2023 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/4150 | - |
dc.description | Copyright belongs to proceeding publisher | en_US |
dc.description.abstract | A Smart Parking system has a lot of components such as an automated parking infrastructure, sensors, and a navigation system. For the implementation of the navigation system in smart parking, a 3D floor map is required. A 3D view of maps is always better than traditional maps, but making a 3D model comes at a cost and requires specialized tools. Infrastructures such as hospitals, offices usually have the little luxury when it comes to maintaining their parking spaces, and the proposed system is providing a simple yet effective solution for this problem in this paper. Till now, images are two-dimensional, and tools like Lidar or Kinect are used to get the depth element right. However, to make the floor construction handy, portable, and lightweight a smartphone image-based approach is proposed here to make a 3D model of indoor parking lots. The pillars and the separation walls between parking spaces are easy to identify using deep learning models. A convolution neural network-based architecture was used for object detection. The main problem that remains is to calculate the depth of the objects in the image. Here in this paper, a successful approach is proposed to overcome the problem of finding depth in images. | en_US |
dc.subject | Smart Parking Systems | en_US |
dc.subject | 3D Mapping | en_US |
dc.subject | Computer Vision | en_US |
dc.title | Computer Vision based 3D model floor construction for Smart Parking System | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2023_IFIP-IoT_JPatra_Computer.pdf | 2.04 MB | Adobe PDF | View/Open Request a copy |
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