The invention relates to a vehicle safety early warning system and method based on a multi-source data fusion algorithm applied to the field of vehicle safety, and the system comprises a safety early warning system body, the safety early warning system comprises a real-time monitoring module, the real-time monitoring module comprises a vehicle driving state monitoring unit, a road condition situation sensing unit and a vehicle condition monitoring unit, the real-time monitoring module is electrically connected with a data acquisition module, the data acquisition module is electrically connected with a data fusion module, a driver and surrounding vehicles are monitored in all directions through multi-source data fusion, the early warning accuracy is effectively improved, the interaction of multiple vehicles around the vehicle during driving is improved through a multi-vehicle cooperation module, and the driving safety of the vehicle is improved. The early warning system effectively expands the early warning range, monitors the emotion of the driver through the emotion recognition module, can perform timely early warning on the vehicle coming from the opposite direction and the vehicle behind according to the state of the driver in the vehicle driving process, and effectively reduces the harmfulness of human nonstandard driving behaviors to the vehicle safety.
本发明涉及应用于车辆安全领域的一种基于多源数据融合算法的车辆安全预警系统及其方法,包括安全预警系统本体,且安全预警系统包括实时监控模块,实时监控模块包括车辆驾驶状态监测单元、路况态势感知单元和车况监测单元,实时监控模块上电连接有数据采集模块,且数据采集模块上电连接有数据融合模块,通过多源数据融合对司机和周围车辆进行全方位的监测,有效提高预警的准确性,而且通过多车协同模块来提高车辆行驶周围的多车交互性,有效扩大预警范围,还通过情绪识别模块对司机的情绪进行监控,在驾驶车辆的过程中能根据司机的状态对对向来车和后方车辆进行及时预警,有效降低人为不规范驾驶行为对车辆安全的危害性。
Vehicle safety early warning system and method based on multi-source data fusion algorithm
一种基于多源数据融合算法的车辆安全预警系统及其方法
2025-03-11
Patent
Electronic Resource
Chinese
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