The invention discloses a foreign matter intrusion identification method based on an engineering vehicle operation safety monitoring system, and the method employs a laser radar and a multi-mode camera, and combines the basic data of the engineering vehicle operation safety monitoring system and an artificial intelligence algorithm technology. The method can accurately recognize the types and position information of key targets such as personnel, vehicles and common foreign matters in front of the engineering vehicle, so as to remind a driver to take corresponding measures in time, and achieve the early warning protection function of foreign matter invasion in the driving operation process of the engineering vehicle.
本发明公开了一种基于工程车运行安全监控系统的异物入侵识别方法,采用激光雷达、多模态相机、结合工程车运行安全监控系统基础数据以及人工智能算法的技术,能够准确识别工程车运行前方重点目标如人员、车辆和一般常见异物的类别和位置信息,以便提醒司机及时采取相应的措施,实现工程车行车作业过程中异物入侵的预警防护功能。
Foreign matter invasion identification method based on engineering vehicle operation safety monitoring system
一种基于工程车运行安全监控系统的异物入侵识别方法
2024-10-01
Patent
Electronic Resource
Chinese
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