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MIT License Copyright (c) 2017-2018 Udacity, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

简介

模型预测控制既是一种控制算法,也常被应用于解决运动规划问题,如今被广泛应用于自动驾驶/能源等领域。该项目是优达学城无人驾驶课程的一个开源项目,实现了车辆追踪参考轨迹的横纵向控制,实现方法简洁,是模型预测控制算法的入门好帮手!稍加改造即可添加避障功能。 论文名称: Sampled-Data Nonlinear Model Predictive Control for Constrained Continuous Time Systems 算法简介: 该算法实现了车辆追踪参考轨迹(一串waypoint)的功能。选取的车辆运动学模型为经典的自行车模型,使用第三方非线性求解库IPOPT完成改问题的求解,仿真环境为优达学成官方的轻量型模拟器。简单的调参即可达到稳定,算法可以以50+H... 展开 收起
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