基于计算机视觉技术的车辆远程控制技术研究

Research on Vehicle Remote Control Technology Based on Computer Vision Technology

摘要:

随着信息技术的发展,车辆远程控制成为了学术界的前瞻性研究。此次研究在合理利用计算机视觉技术的基础上,结合模糊PID控制智能算法建立了车辆远程控制系统,以期实现对车辆装置的实时监控,能够在危险状况发生时通过远程控制中心操控车辆。实验中,以履带车辆作为研究对象,对其相关参数进行了设计,以达到验证该控制系统有效性的目的。研究表明,无论是在直线行驶作业下还是曲线行驶作业下,相较于基于模糊PID控制算法的车辆控制系统,PID车辆控制系统均调节震荡大、调节时间长；而基于BP神经网络算法的车辆控制系统也存在诸多问题；因而基于模糊PID控制算法的车辆控制系统调控精度较高,适用性较强。此次研究对车辆远程控制研究具有一定的指导价值。

Abstract:

With the development of information technology, vehicle remote control has become a prospective research in academic circles. Based on the reasonable use of computer vision technology and the intelligent algorithm of fuzzy PID control, the vehicle remote control system is established in this study, in order to realize the real-time monitoring of the vehicle device and to control the vehicle through the remote control center when the dangerous situation occurs. In the experiment, the relevant parameters of tracked vehicle are designed to verify the effectiveness of the control system. Compared with the fuzzy PID control algorithm, the results show that both straight-line and curve-driven operations vehicle control system, PID vehicle control system all adjust the oscillation large, the adjustment time is long; and the vehicle control system based on BP neural network algorithm also has many problems; therefore, the vehicle control system based on fuzzy PID control algorithm has high precision and strong applicability. This research has certain guiding value to the vehicle remote control research.