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基于图像识别的低空动态目标碰撞预测方法论述

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目前无人机已在各个领域得到了广泛的应用.基于无人机图像传感器的动态目标检测在理论研究和实际应用中占据关键地位,备受研究人员的关注.深入研究了无人机的工作场景,针对其特殊的运行环境进行了数学建模并加以分析.通过简化场景,提出了一种利用轻量级卷积网络模型进行图像识别的方法,在降低计算成本的同时保证对碰撞的准确预测,从而为无人机的飞行过程提供更为可靠的保障.
Discussion on Collision Prediction Methods for Low-altitude Dynamic Targets Based on Image Recognition
Currently,UAVs have been widely used in various fields.Dynamic target detection based on UAV image sensor has attracted extensive attention from researchers because of its key position in theoretical research and practical application.It deeply studies the working scenarios of UAVs,and gives targeted mathematical modeling and analysis for their special operating environments.Then by simplifying the complexity of the scenes,it proposes a method for image recognition using a lightweight neural network model,which reduces computing costs while ensuring accurate prediction of collisions,thereby providing a more reliable safeguard for the UAVs' flight process.

Low altitude economyUrban situationUAV visionImage recognition

孙一卓、陈麒、张欢、吴炎瑾、宋昊阳

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中国电信深圳分公司,广东深圳518000

中通信息服务有限公司,广东深圳518000

广东南方电信规划咨询设计院有限公司,广东深圳518000

低空经济 城市环境 无人机视觉 图像识别

2024

邮电设计技术
中讯邮电咨询设计院有限公司

邮电设计技术

影响因子:0.647
ISSN:1007-3043
年,卷(期):2024.(12)