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By integrating flexible sensors into automotive seats, steering wheels, and powertrain components, it is possible to monitor the occupants’ physiological indicators (heart rate, respiration) and vehicle health status in real-time. This paper systematically reviews 2 major application scenarios of flexible sensors in intelligent vehicles: environmental perception (e.g., in-cabin gas monitoring) and human-machine interaction (e.g., haptic feedback, intelligent cockpit perception). It further analyzes 3 core technical routes of flexible pressure sensors: nanocomposite-based piezoresistive sensors, porous ionogel-based capacitive sensors, and polymer-based piezoelectric sensors. The study delves into signal transduction mechanisms for each technical route, providing theoretical support for constructing multi-modal perception networks in intelligent vehicles.
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| 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 |
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