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Decentralized fast-MPC path planner for automated vehicles

机译:自动化汽车的分散式快速MPC路径规划器

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Safe path-planning in an environment subject to the presence of other vehicles or obstacles in general is a crucial task for autonomous vehicle development. A complete control scheme is designed in order to test a decentralized fast MPC path planner algorithm. The proposed control scheme is composed by a receding replanner based on a fast numerical implementation of a nonlinear optimization problem and PIDs as trajectory tracker. A detailed description of the control problem formulation is provided as well as the mathematical models of vehicle considered. Numerical simulations of the control are discussed and finally conclusions are drawn.
机译:通常,在存在其他车辆或障碍物的环境中进行安全的路径规划是自动驾驶汽车开发的关键任务。为了测试分散的快速MPC路径规划器算法,设计了完整的控制方案。所提出的控制方案由一个后退的重新规划器组成,该规划器基于非线性优化问题的快速数值实现以及PID作为轨迹跟踪器。提供了控制问题公式的详细描述以及所考虑的车辆的数学模型。讨论了控制的数值模拟,最后得出了结论。

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