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基于TMR传感器技术的电动底盘车行程检测技术

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为了提高车辆行程检测的灵敏度、准确率以及使用性,提出采用TMR传感器技术的车辆行程检测方法.基于TMR传感器技术实现车辆行程的检测,将TMR传感器作为系统的检测器,对车辆行程信息进行数据采集,采用遗传优化支持向量机(GA-SVM)算法,将支持向量机算法从二维空间优化到高维空间,进而实现对车辆的分类以及识别.通过实验,该系统准确率可达98%,算法准确率可达95%.
Travel Detection Technology of Electric Chassis Vehicle Based on TMR Sensor Technology
In order to improve the sensitivity,accuracy and usability of vehicle travel detection,this paper proposes a vehicle travel detection method based on TMR sensor technology.The vehicle travel detection is realized based on TMR sensor tech-nology,and then the TMR sensor is used as the detector of the system to collect the vehicle travel information.The genetic op-timization support vector machine(GA-SVM)algorithm is used to optimize the support vector machine algorithm from two-di-mensional space to high-dimensional space,so as to realize the classification and identification of vehicles.Through experi-ments,the accuracy of the system can reach 98%,and accuracy of the algorithm can reach 95%.

TMR sensorvehicle detectionrecognitionGA-SVMembedded

陈敏、梁煜健、黄德华、李丰、何彧

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广东电网有限责任公司肇庆供电局,广东,肇庆 526060

TMR传感器 车辆检测 识别 GA-SVM 嵌入式

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(9)