The application potential of on-device intelligent technology in distributed computing, with its inherent advantages in timeliness and privacy preservation, is progressively expanding within intelligent connected vehicles. Based on on-device intelligent principles, this paper proposes a device-cloud collaborative framework for expedited recommendation functionalities in intelligent connected vehicles, thereby establishing a novel technical solution for intelligent networking through on-device computing. The architecture incorporates the design of on-device model training and inference mechanisms that enable real-time local data analysis and decision-making at vehicular terminals. This implementation facilitates personalized shortcut recommendations tailored to occupants’ preferences. Experimental results demonstrate that the proposed scheme significantly enhances users’ experience while providing innovative insights into practical implementations of on-device intelligent technology for intelligent connected vehicles. This research contributes new perspectives for Intelligent connected vehicles applications through on-device.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |