----------- AP11 Results ------------ Pedestrian AP11@0.50, 0.50, 0.50: bbox AP11:0.5897, 0.4874, 0.5217 bev AP11:0.1280, 0.1280, 0.1280 3d AP11:0.1280, 0.1280, 0.1280 aos AP11:0.29, 0.25, 0.25 Pedestrian AP11@0.50, 0.25, 0.25: bbox AP11:0.5897, 0.4874, 0.5217 bev AP11:1.0101, 1.0101, 1.0101 3d AP11:1.0101, 1.0101, 1.0101 aos AP11:0.29, 0.25, 0.25 Cyclist AP11@0.50, 0.50, 0.50: bbox AP11:0.0343, 0.0407, 0.0407 bev AP11:0.0000, 0.0000, 0.0000 3d AP11:0.0000, 0.0000, 0.0000 aos AP11:0.00, 0.01, 0.01 Cyclist AP11@0.50, 0.25, 0.25: bbox AP11:0.0343, 0.0407, 0.0407 bev AP11:0.0125, 0.0145, 0.0145 3d AP11:0.0125, 0.0145, 0.0145 aos AP11:0.00, 0.01, 0.01 Car AP11@0.70, 0.70, 0.70: bbox AP11:0.2165, 4.5455, 4.5455 bev AP11:0.0364, 0.0417, 0.0573 3d AP11:0.0429, 0.0364, 0.0403 aos AP11:0.08, 0.13, 0.17 Car AP11@0.70, 0.50, 0.50: bbox AP11:0.2165, 4.5455, 4.5455 bev AP11:0.7576, 4.5455, 4.5455 3d AP11:0.7576, 4.5455, 4.5455 aos AP11:0.08, 0.13, 0.17 Overall AP11@easy, moderate, hard: bbox AP11:0.2801, 1.6912, 1.7026 bev AP11:0.0548, 0.0566, 0.0618 3d AP11:0.0570, 0.0548, 0.0561 aos AP11:0.12, 0.13, 0.14 ----------- AP40 Results ------------ Pedestrian AP40@0.50, 0.50, 0.50: bbox AP40:0.3140, 0.2965, 0.3301 bev AP40:0.0157, 0.0166, 0.0179 3d AP40:0.0135, 0.0137, 0.0137 aos AP40:0.15, 0.15, 0.16 Pedestrian AP40@0.50, 0.25, 0.25: bbox AP40:0.3140, 0.2965, 0.3301 bev AP40:0.2281, 0.2747, 0.1830 3d AP40:0.2163, 0.2377, 0.1660 aos AP40:0.15, 0.15, 0.16 Cyclist AP40@0.50, 0.50, 0.50: bbox AP40:0.0089, 0.0112, 0.0112 bev AP40:0.0000, 0.0000, 0.0000 3d AP40:0.0000, 0.0000, 0.0000 aos AP40:0.00, 0.00, 0.00 Cyclist AP40@0.50, 0.25, 0.25: bbox AP40:0.0089, 0.0112, 0.0112 bev AP40:0.0034, 0.0040, 0.0040 3d AP40:0.0034, 0.0040, 0.0040 aos AP40:0.00, 0.00, 0.00 Car AP40@0.70, 0.70, 0.70: bbox AP40:0.1004, 0.0867, 0.1244 bev AP40:0.0093, 0.0115, 0.0158 3d AP40:0.0118, 0.0079, 0.0111 aos AP40:0.06, 0.05, 0.07 Car AP40@0.70, 0.50, 0.50: bbox AP40:0.1004, 0.0867, 0.1244 bev AP40:0.1653, 0.1130, 0.1428 3d AP40:0.1344, 0.0911, 0.1118 aos AP40:0.06, 0.05, 0.07 Overall AP40@easy, moderate, hard: bbox AP40:0.1411, 0.1315, 0.1552 bev AP40:0.0083, 0.0094, 0.0112 3d AP40:0.0084, 0.0072, 0.0083 aos AP40:0.07, 0.07, 0.给我解释一下这些参数

这些参数是用于评估一个目标检测模型在不同类别（如行人、自行车、汽车等）上的性能表现。其中，AP11和AP40代表了不同IoU阈值下的平均精度（Average Precision），分别对应0.50和0.75的阈值。bbox、bev、3d和aos则代表了不同的评估指标，分别为2D边框精度、鸟瞰图精度、3D边框精度和方向精度。而最后的easy、moderate和hard则代表了不同难度级别的评估结果。这些参数可以帮助我们了解一个目标检测模型在不同类别和不同难度级别下的性能表现，从而更好地优化和改进模型。