在使用激光雷达传感器时，L-shape拟合是基于模型的车辆检测与跟踪的关键步骤，需要深入调研和综合研究。 本文将L-shape拟合问题作为一个优化问题来研究。

2023年9月13日 · L-Shape算法是一种基于斜率匹配的点云拟合方法，能够有效地处理具有L形状的点云数据。 通过找到L形状的 两 条边，并计算其交点，可以得到完整的L形状。

2024年2月7日 · L-Shape算法是一种基于斜率匹配的点云拟合方法，能够有效地处理具有L形状的点云数据。通过找到L形状的两条边，并计算其交点，可以得到完整的L形状。

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L-Shape的跟踪模块，主要通过 NN + KF 对目标的运动和形状进行估计，其中对于目标运动的估计，L-Shape除了对运动直接估计，还通过形状模型进行补偿提高运动估计的精度。

2018年12月23日 · In this paper, we propose a highly efficient search-based L-Shape fitting algorithm for detecting positions and orientations of vehicles with a 2D laser scanner. Differing from the approach to formulating LShape fitting as a complex optimization problem, our method decomposes the L-Shape fitting into two steps: L-Shape vertexes searching and L ...

Efficient L-Shape Fitting for Vehicle Detection Using Laser Scanners - SmallMunich/L-Shape-Fitting

2023年12月1日 · L-shaped算法是一种用于解决线性规划问题的算法，特别适用于混合整数线性规划问题（MILP）。 它基于Dantzig-Wolfe分解和割平面方法，能够有效地处理具有较大规模和复杂结构的问题

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