【摘要】 设计了一种新的智能车机器视觉仿真系统。将智能车动力学模型与模糊控制算法相结合,利用Matlab/Simulink 3D Animation搭建智能车视觉仿真和反馈系统,建立智能车虚拟仿真环境,通过对仿真环境中视频的采集与输出,实现了虚拟环境路径的识别与跟踪。结果表明,该系统输出轨迹与目标轨迹的误差在10%以内,证明了该平台的可靠性、稳定性和便利性,为机器视觉智能车研究奠定了良好的基础。更多还原

【Abstract】 A new simulation platform was designed and developed for an intelligent vehicle with computer vision system. The intelligent car vision simulation and feedback system was built by Matlab/Simulink 3D Animation tool box.The path identification and tracking of the virtual environment was realized through the capture and output of video signal under the simulation environment,combined with intelligent vehicle dynamics model and the fuzzy control algorithm to establish the intelligent vehicle virtual simulation environment. The difference of simulation test results and target path can be controlled within 10%. The platform is stable and reliable and convenient,can provide good simulation platform for visual guidance of intelligent vehicle research.更多还原