【24h】

Predictive lane-keeping system for an autonomous vehicle

机译:自动驾驶车的预测车道保持系统

获取原文

摘要

In this paper, a model predictive control lanekeeping system of an autonomous vehicle is proposed. The control algorithm was tested experimentally on a laboratory scaled model of the vehicle. The desired trajectory during the experiment was determined by computer vision. Using image processing the middle of the driving lane and the horizontal profile of the driving lane was recognized. The control algorithm on the vehicle model was implemented in Python and solved using OSQP mathematical programming solver.
机译:本文提出了一种自动驾驶汽车的模型预测控制车道保持系统。在车辆的实验室规模模型上对控制算法进行了实验测试。实验期间所需的轨迹是通过计算机视觉确定的。通过图像处理,识别了行驶车道的中间和行驶车道的水平轮廓。车辆模型的控制算法是用Python实现的,并使用OSQP数学编程求解器进行了求解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号