Research Article
Development of AI-Based Vehicle Detection and Tracking System for C-ITS Application
Table 1
Vehicle information storage type.
| | Field name | Description |
| | LinkID | Serial number of link ID in road central line of HD map in the detection area | | Timestamp | Vehicle detection time: Unix timestamp (UTC) of accuracy in milliseconds | | ObjectID | Object ID | | Vehicletype | Vehicle type | | Vehicletypeprob | Vehicle type probability | | Objectstatus | Normal/abnormal traveling status (abnormal when not in motion for a certain period of time) | | Offset | Offset of event point for link ID | | Posdistance | Distance between the present HD map link and the extracted coordinates in longitude/latitude | | Poslong | Longitude | | Poslat | Latitude | | Speed | Speed of detected vehicle (km/h) | | Heading | Heading (°) | | Object prediction | Index | Index (0–29 for 3 s prediction in units of 0.1 s) | | Timestamp | Vehicle detection time (prediction) | | Poslong | Longitude | | Poslat | Latitude | | Speed | Speed (km/h) | | Heading | Heading (°) | | LinkID | Link ID of predicted location at the timestamp of the detected object | | Offset | Offset of link ID of predicted location at the timestamp of the detected object |
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