The invention discloses a multi-modal target detection method for a mooring unmanned aerial vehicle, belongs to the technical field of unmanned aerial vehicle recognition, and solves the problem that disaster victims cannot be found in disordered ruins by a relatively accurate method for simply performing image recognition through visual assistance, and disaster relief personnel can be repeatedly recognized even if the disaster victims are recognized. And finally, the method can only be used for outputting pictures so that disaster relief personnel can cooperate to carry out manual monitoring, and the recognition efficiency is poor. Comprising the following steps: acquiring an area ground picture through an image acquisition module in the mooring unmanned aerial vehicle; according to the invention, multi-modal target detection is realized, whether suspected disaster victims exist in the area is judged by combining direct shooting, thermal imaging, ultrasonic image and sound source positioning, disaster relief personnel are helped to carry out rescue more efficiently, and blind searching is avoided. Meanwhile, it is not needed to completely rely on manual monitoring of images of the mooring unmanned aerial vehicle, the rescue efficiency is greatly improved, and rescue workers are prevented from being repeatedly recognized.
本发明公开了一种系留无人机多模态目标检测方法,属于无人机识别技术领域,解决了简单通过视觉辅助来进行图像识别并没有较为准确的办法在杂乱的废墟当中发现受灾人员,即便是识别了,也能是救灾人员的重复识别,最终导致其只能用于输出画面以便救灾人员配合进行人工监测,这般识别效率欠佳的问题。包括下步骤,通过系留无人机中图像采集模块采集区域地面画面。本发明实现了多模态目标检测,结合直接拍摄、热成像、超声波画面及声源定位,判断区域内是否存在疑似受灾人员,帮助救灾人员更高效地进行救援,避免盲目寻找。同时,无需完全依赖人工监控系留无人机画面,大大提高了救援效率,并防止救援人员被重复识别。
Mooring unmanned aerial vehicle multi-mode target detection method
一种系留无人机多模态目标检测方法
2025-05-06
Patent
Electronic Resource
Chinese
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