融合动态风险图与多变量注意力机制的车辆轨迹预测模型
陈文强,冯琳越,王东丹,顾玉磊,赵轩

Vehicle trajectory prediction model integrating dynamic risk map and multivariate attention mechanism
Wenqiang CHEN,Linyue FENG,Dongdan WANG,Yulei GU,Xuan ZHAO
表 4 不同模型的计算复杂度与推理时间对比
Tab.4 Comparison of computational complexity and inference time across models
模型名称FLOPs/109T/ms
CS-LSTM0.01409.436
STGAMT0.029710.905
STDAN0.043013.035
iNATran0.096820.927
RGMA(V3)0.054216.488
RGMA(V4)0.047514.732
RGMA0.041112.874