TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes

arXiv:2403.18238v1 Announce Type: new
Abstract: As drone technology advances, using unmanned aerial vehicles for aerial surveys has become the dominant trend in modern low-altitude remote sensing. The surge in aerial video data necessitates accurate prediction for future scenarios and motion states of the interested target, particularly in applications like traffic management and disaster response. Existing video prediction methods focus solely on predicting future scenes (video frames), suffering from the neglect of explicitly modeling target's motion states, which is crucial for …

abstract advances aerial arxiv become cs.cv data drone future low modern prediction sensing surveys technology transformer trend type unmanned aerial vehicles vehicles video video data