【24h】

Multi-optimization of η3-splines for autonomous parking

机译:自主停车的η 3 样条的多重优化

获取原文
获取原文并翻译 | 示例

摘要

This paper proposes a multi-optimization approach to the autonomous parking of car-like vehicles. It uses a polynomial curve primitive — the η3-spline — to build up intrinsically feasible path maneuvers over which to minimize with a weighted sum method the total length of parking paths and the moduli of the maximum path curvature and curvature derivative. The approach takes into account the mandatory constraint of obstacle avoidance and maximal steering angle and the constraint of maximal curvature derivative which is a selectable limit to ensure the desired smoothness of the parking paths. Simulation results are included for a garage parking example.
机译:本文提出了一种多优化方法,用于自动驾驶汽车。它使用多项式曲线原语η 3 -spline来建立本质上可行的路径操纵,并使用加权和方法将停车路径的总长度和最大路径曲率的模量最小化和曲率导数。该方法考虑到了避开障碍物和最大转向角的强制性约束以及最大曲率导数的约束,该约束是为确保停车路径的所需平滑度而可选的极限。仿真结果包含在车库停车示例中。

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