Sensor optimization

The present disclosure provides "sensor optimization". A three-dimensional mesh model of the traffic scene may be determined based on the mesh elements. Weights of grid elements of the three-dimensional grid model that correspond to the priority regions and the occluded grid elements may be determined. A mesh coverage for a respective fixed sensor may be determined based on mesh elements of the three-dimensional mesh model. A matrix is determined based on a grid coverage of the plurality of fixed sensors. An optimal subset of fixed sensors may be determined based on applying a greedy search algorithm to the matrix, weights, and costs corresponding to the plurality of fixed sensors to maximize a grid coverage to cost ratio based on the poses of the plurality of fixed sensors. 本公开提供"传感器优化"。可以基于网格元素来确定交通场景的三维网格模型。可以确定三维网格模型的与优先级区域和被遮挡的网格元素相对应的网格元素的权重。可以基于三维网格模型的网格元素来确定相应的固定传感器的网格覆盖范围。基于多个固定传感器的网格覆盖范围来确定矩阵。可以基于将贪婪搜索算法应用于矩阵、权重和对应于多个固定传感器的成本以基于多个固定传感器的姿态来使网格覆盖范围与成本的比率最大化来确定固定传感器的最佳子集。