摘要
针对多类型传感器在车身上安装位置的优化,本文提出了一种传感器布置优化方法。该模型考虑了感知对象的表面特征并提出离散化模型,通过分析传感器感知区域指数以及传感器与感知对象的耦合关系,实现了不同类型传感器感知区域的归一化建模。并利用粒子群算法构建布置优化模型,可以计算出传感器在车身不同位置上的覆盖面积。通过与传感器厂家提供的布置方法相比较,该方法优化了传感器布置模型,可以有效提高传感器获得的感知对象信息,并有效提高了传感器感知的覆盖面积。
Aiming at the integrated optimization of the installation position and installation angle of different types of sensors,the model considers the surface characteristics of the sensing object and presents a discrete model.By analyzing the sensor sensing region index,the normalized modeling of the sensing region of different types of sensors is realized.Particle swarm optimization(PSO)is used to construct an optimization model,which can calculate the coverage area of sensing objects at different positions and angles.Compared with the layout method provided by the sensor manufacturer,this method optimizes the sensor layout model,maximizes the information obtained by the sensor,and effectively improves the coverage area perceived by the sensor.
作者
董朝闻
耿平
DONG Chao-wen;GENG Ping(Hubei Dayun Automobile Co.,Ltd.Technology Center,Shiyan 442000,China)
出处
《价值工程》
2024年第7期86-88,共3页
Value Engineering
关键词
感知对象耦合
粒子群算法
传感器归一化模型
传感器布置方法
unmanned driving
perceptual region exponential attenuation model
sensor normalization model
sensor layout method
