Smart City Gnosys
Smart city article details
| Title | Pedestrian Warning: Intelligent Vision Sensor Vs. Edge Ai With Lte C-V2X In A Smart City |
|---|---|
| ID_Doc | 41544 |
| Authors | Cui T.; Zhang Z.; Sun C.; Wang S.; Li H.; Zhang W. |
| Year | 2024 |
| Published | IEEE Vehicular Technology Conference |
| DOI | http://dx.doi.org/10.1109/VTC2024-Spring62846.2024.10683564 |
| Abstract | Unlocking the Potential of Smart Cities: Our paper details a groundbreaking field test validating the direct camera-to-RSU connection in a C-V2X pedestrian warning scenario. By leveraging local AI computing within the Sony IMX500 smart camera, our approach eliminates the need for traditional computing servers, leading to significant improvements in pedestrian warning speed. Test results demonstrate a reduction in response time by up to approximately 1 second, showcasing the efficiency gains and transformative benefits of building smarter cities. © 2024 IEEE. |
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