基于激光传感器的多应急救援车辆运输路径优化识别系统设计
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摘要
采用当前方法设计的系统识别车辆运输路径时,识别路径所用的时间较长,识别结果与实际结果之间的误差较大,存在系统响应性低和识别结果准确率低的问题。提出基于激光传感器的多应急救援车辆运输路径优化识别系统设计方法,通过速度检测模块、电源控制模块、电机驱动模块、舵机转向模块、路径识别模块和无线通信模块构成多应急救援车辆运输路径优化识别系统的硬件部分。通过激光传感器获取路径信息,并将其转变为路径图像,采用动态阈值算法分割路径图像,通过计算噪点附近像素点的像素值,得到像素均值,根据像素均值去除分割处理后路径图像中存在的噪点,在路径中心线的基础上构建路径识别的特征空间,根据特征空间构建路径样本空间,识别多应急救援车辆运输路径,完成多应急救援车辆运输路径优化识别系统的设计。实验结果表明,所提方法的响应性高、识别结果准确率高。
When the system designed by the current method identifies the vehicle transportation path,the time taken to identify the path is long,and the error between the recognition and the actual result is large,and there is a problem that the system responsiveness and the recognition result accuracy are low. A design method of multi-emergency rescue vehicle transportation path optimization identification system based on laser sensor is proposed. Through the speed detection module,power control module,motor driving module,steering module,path identification module and wireless communication module,the multi-emergency rescue vehicle transportation path optimization identification system hardware is constructed. The path information is obtained by the laser sensor and converted into a path image. The path image is segmented by a dynamic threshold algorithm. The pixel value is obtained by calculating the value of the pixel near the noise,and the noise existing in the path image after the segmentation process is removed according to the pixel mean value. On the basis of the path center line,the feature space of path recognition is constructed,the path sample space is constructed according to the feature space,the multi-emergency rescue vehicle transportation path is identified,and the design of the multi-emergency rescue vehicle transportation path optimization recognition system is completed. The experimental results show that the proposed method has high responsiveness and the accuracy of recognition results is high.
When the system designed by the current method identifies the vehicle transportation path,the time taken to identify the path is long,and the error between the recognition and the actual result is large,and there is a problem that the system responsiveness and the recognition result accuracy are low. A design method of multi-emergency rescue vehicle transportation path optimization identification system based on laser sensor is proposed. Through the speed detection module,power control module,motor driving module,steering module,path identification module and wireless communication module,the multi-emergency rescue vehicle transportation path optimization identification system hardware is constructed. The path information is obtained by the laser sensor and converted into a path image. The path image is segmented by a dynamic threshold algorithm. The pixel value is obtained by calculating the value of the pixel near the noise,and the noise existing in the path image after the segmentation process is removed according to the pixel mean value. On the basis of the path center line,the feature space of path recognition is constructed,the path sample space is constructed according to the feature space,the multi-emergency rescue vehicle transportation path is identified,and the design of the multi-emergency rescue vehicle transportation path optimization recognition system is completed. The experimental results show that the proposed method has high responsiveness and the accuracy of recognition results is high.
引文
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[3]李海玉,程晓卿,苏钊颐,等.基于激光位移传感器的城市轨道交通车辆轮对尺寸在线检测系统[J].城市轨道交通研究,2016,19(9):10-14.
[4]刘影,高爽,鲍志强,等.基于DBR光纤激光传感器的超声与温度双参量测量研究[J].传感技术学报,2016,29(8):1155-1159.
[5]王花平,向平.基于应变传递理论的光纤传感器优化设计[J].光学精密工程,2016,24(6):1233-1241.
[6]戴军,唐湘成,高志峰.海空背景下红外图像处理系统设计与实现[J].红外技术,2016,38(2):121-125.
[7]伟利国,张小超,汪凤珠,等.联合收割机稻麦收获边界激光在线识别系统设计与试验[J].农业工程学报,2017,33(s1):30-35.
[8]王肖,李克强,王建强,等.基于三维激光雷达的智能车辆目标参数辨识[J].汽车工程,2016,38(9):1146-1152.
[9]肖峰,涂雯雯,陈冬.基于手机运动传感器数据的交通流拥挤识别[J].西南交通大学学报,2016,51(3):553-562.
[10]陈加栋,邱白晶,管贤平,等.基于二维激光传感器无人直升机作业边界探测[J].农机化研究,2017,39(7):10-15.
[11]龙龙,李宗峰.基于激光位移传感器的3维位置测量算法研究[J].激光技术,2017,41(4):531-536.
[12]周阳林,李广云,王力,等.基于传感器联合测量的车载POS精度检测系统设计[J].仪器仪表学报,2017,38(4):806-812.
[13]冯冬冬,万熠,汤碧红,等.基于激光位移传感器的带锯条分齿在线检测系统研究[J].工具技术,2016,50(3):82-86.
[14]李颖宏,马龙.一种新型双激光测速系统的设计与应用[J].电子测量与仪器学报,2016,30(2):256-264.
[15]张毅,杜凡宇,罗元,等.一种融合激光和深度视觉传感器的S LAM地图创建方法[J].计算机应用研究,2016,33(10):2970-2972.
[16]陈少杰,张亮,吴金才,等.空间激光通信中精跟踪系统的实现与优化[J].红外与毫米波学报,2018,37(1):35-41.