External Vehicle Positioning System Using Multiple Fish-Eye Surveillance Cameras for Indoor Parking Lots
The autonomous positioning of a vehicle predominantly relies on the global positioning system (GPS). However, in indoor environments, such as tunnels and indoor parking lots, the accuracy of GPS-based positioning can be significantly reduced due to weak GPS signals. To this end, we develop an accura...
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| Veröffentlicht in: | IEEE systems journal 2021-12, Vol.15 (4), p.5107-5118 |
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| container_title | IEEE systems journal |
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| creator | Kim, Sung-Tae Fan, Ming Jung, Seung-Won Ko, Sung-Jea |
| description | The autonomous positioning of a vehicle predominantly relies on the global positioning system (GPS). However, in indoor environments, such as tunnels and indoor parking lots, the accuracy of GPS-based positioning can be significantly reduced due to weak GPS signals. To this end, we develop an accurate indoor vehicle positioning system using multiple fish-eye surveillance cameras. Our system first extracts vehicle segments from the top-view image of each fish-eye camera. These segments are then integrated into a common undistorted coordinate system. The center of the vehicle is finally determined using our simple but effective box fitting method. Moreover, a 1/18 scale indoor parking lot is designed to evaluate the performance of the proposed system. Throughout our experiments, we obtained average positioning errors of 30 or 24 cm in the regions covered by a single camera or multiple cameras, respectively. |
| doi_str_mv | 10.1109/JSYST.2020.3019296 |
| format | Article |
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However, in indoor environments, such as tunnels and indoor parking lots, the accuracy of GPS-based positioning can be significantly reduced due to weak GPS signals. To this end, we develop an accurate indoor vehicle positioning system using multiple fish-eye surveillance cameras. Our system first extracts vehicle segments from the top-view image of each fish-eye camera. These segments are then integrated into a common undistorted coordinate system. The center of the vehicle is finally determined using our simple but effective box fitting method. Moreover, a 1/18 scale indoor parking lot is designed to evaluate the performance of the proposed system. 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Throughout our experiments, we obtained average positioning errors of 30 or 24 cm in the regions covered by a single camera or multiple cameras, respectively.</description><subject>Calibration</subject><subject>Cameras</subject><subject>Coordinates</subject><subject>Distortion</subject><subject>Estimation</subject><subject>Fish-eye camera</subject><subject>Global Positioning System</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Image segmentation</subject><subject>Indoor environments</subject><subject>indoor navigation</subject><subject>Parking facilities</subject><subject>Segments</subject><subject>Surveillance</subject><subject>surveillance system</subject><subject>vehicle positioning</subject><issn>1932-8184</issn><issn>1937-9234</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF9LwzAUxYsoOKdfQF8CPnfmT5M2jzI2nUwcdBN8Cml76zK7ZiatuG9vuw2fzj1wfpd7TxDcEjwiBMuHl_QjXY4opnjEMJFUirNgQCSLQ0lZdH6YaZiQJLoMrrzfYMwTHstBsJ78NuBqXaF3WJu8ArSw3jTG1qb-ROneN7BFK9-b17ZqzK5LTI1fh5M9oLR1P2CqStc5oLHegtMeldahWV3YThbaffXk3Db-OrgodeXh5qTDYDWdLMfP4fztaTZ-nIc5lbwJS8lpd2aZFRnPCAGIGdUxB17ERQElw0xGWVKILE9wIaI4EgxLHZUiYppB54bB_XHvztnvFnyjNrbtH_SKCpxwzlnCuxQ9pnJnvXdQqp0zW-32imDVN6oOjaq-UXVqtIPujpABgH9AkkQIStkfmeBzOw</recordid><startdate>202112</startdate><enddate>202112</enddate><creator>Kim, Sung-Tae</creator><creator>Fan, Ming</creator><creator>Jung, Seung-Won</creator><creator>Ko, Sung-Jea</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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However, in indoor environments, such as tunnels and indoor parking lots, the accuracy of GPS-based positioning can be significantly reduced due to weak GPS signals. To this end, we develop an accurate indoor vehicle positioning system using multiple fish-eye surveillance cameras. Our system first extracts vehicle segments from the top-view image of each fish-eye camera. These segments are then integrated into a common undistorted coordinate system. The center of the vehicle is finally determined using our simple but effective box fitting method. Moreover, a 1/18 scale indoor parking lot is designed to evaluate the performance of the proposed system. 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| identifier | ISSN: 1932-8184 |
| ispartof | IEEE systems journal, 2021-12, Vol.15 (4), p.5107-5118 |
| issn | 1932-8184 1937-9234 |
| language | eng |
| recordid | cdi_ieee_primary_9186622 |
| source | IEEE Electronic Library (IEL) |
| subjects | Calibration Cameras Coordinates Distortion Estimation Fish-eye camera Global Positioning System Global positioning systems GPS Image segmentation Indoor environments indoor navigation Parking facilities Segments Surveillance surveillance system vehicle positioning |
| title | External Vehicle Positioning System Using Multiple Fish-Eye Surveillance Cameras for Indoor Parking Lots |
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