Safety-Compliant Generative Adversarial Networks for Human Trajectory Forecasting
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DOI: 10.1109/tits.2022.3233906
Abstract: Human trajectory forecasting in crowds presents the challenges of modelling social interactions and outputting collision-free multimodal distribution. Following the success of Social Generative Adversarial Networks (SGAN), recent works propose various GAN-based designs to better model… read more here.
Keywords: adversarial networks; human trajectory; trajectory forecasting; generative adversarial ... See more keywords