自动驾驶车辆导航的模型预测组合规划与控制方法

Christian Gotte, Martin Keller, C. Hass, K. Glander, Alois Seewald, T. Bertram
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引用次数: 17

摘要

本文提出了一种新的轨迹规划与控制相结合的方法。该方法将最优控制理论与轨迹规划相结合,形成了适用于自动驾驶的主动安全系统,并能在关键情况下避免碰撞。结合规划与控制(CPC)算法通过建立合适的车辆动力学模型,对定时弹性带(TEB)方法进行了扩展,实现了车辆的稳定制导。对轨迹生成问题进行了重新表述,使得非线性模型预测控制(NMPC)方法得以应用。对不同交通场景的分析显示了已开发概念的功能。
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A model predictive combined planning and control approach for guidance of automated vehicles
A novel approach for combined trajectory planning and control is presented in this contribution. The developed method integrates optimal control theory and trajectory planning and leads to an active safety system, which is applicable for automated driving and can avoid collisions in critical situations. The Combined Planning and Control (CPC) algorithm extends the Timed Elastic Band (TEB) approach by a suitable vehicle dynamics model, which facilitates stable vehicle guidance. The problem of trajectory generation is reformulated such that a nonlinear model predictive control (NMPC) method can be applied. The analysis of different traffic scenarios shows the functionality of the developed concept.
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