Full
Outline
To address the limitation that conventional collision warning systems in human-machine co-driving scenarios mainly rely on external environmental parameters and cannot adequately account for prolonged driver reaction time caused by fatigue or distraction, a Dual-Stream Joint Perception Network (DSCP-Net) is proposed. In the external perception branch, Dynamic Snake Convolution (DSC) and Inner-IoU loss are introduced to improve target feature extraction and bounding-box localization. In the in-cabin branch, a lightweight Behavioral Cognitive Module (BCM) is developed to quantify driver states based on facial features. At the decision-making level, driver-state and environmental-perception information are fused to adaptively adjust the Time-to-Collision (TTC) threshold. Experimental results show that the BCM achieves a driver-state recognition accuracy of 97.6%. Under a severe-fatigue emergency-braking condition at 100 km/h, the TTC threshold is adaptively increased from 3.0 s to 4.5 s, providing an additional safety buffer of 41.7 m. The results demonstrate that the proposed method improves active safety warning performance in human-machine co-driving scenarios.
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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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