Abstract: Space-target image-sequence forecasting faces challenges of minute object scales, highly regular textures, and complex imaging conditions. We propose ZMLNet, an end-to-end spatiotemporal ...

Abstract: Addressing the critical challenge of spatiotemporal semantic disjunction caused by conventional bird’s-eye view trajectory modeling methods in ego-vehicle perspective road user behavior ...