基于QT与ADAMS的路径规划及跟随仿真

Path Planning and Following Simulation Based on QT and ADAMS

在车辆相关的路径识别、路径规划、寻迹行驶领域,更多的是关注识别、规划、跟随的算法研究,在这些研究中所采用的车辆模型基本都是经过简化的数学模型。为了在相关的算法研究中考虑到复杂车辆模型的影响,基于MATLAB、QT等算法开发软件进行路径识别及规划并在ADAMS/CAR内建立了复杂的车辆系统,通过在ADAMS/CAR内进行寻迹行驶仿真,较为真实地反映了车辆寻迹行驶时的运动状况,为算法优化和车辆设计提供了依据。

In the field of vehicle-related path recognition,path planning and tracking driving,more attention is paid to the algorithm research of recognition,planning and following,and the vehicle models adopted in these studies are basically simplified mathematical models.In order to in the study of relevant algorithm considering the complex vehicle model,the influence of this article is based on the MATLAB software,such as QT algorithm is used to identify the path and the planning and complex is established in the ADAMS/CAR vehicle system,through tracing in the ADAMS/CAR driving simulation,a real reflects the movement condition of the CAR travels tracing,provided the basis for algorithm optimization and vehicle design.