Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

NeurIPS 2019 Vineet KosarajuAmir SadeghianRoberto Martín-MartínIan ReidHamid RezatofighiSilvio Savarese

Predicting the future trajectories of multiple interacting pedestrians in a scene has become an increasingly important problem for many different applications ranging from control of autonomous vehicles and social robots to security and surveillance. This problem is compounded by the presence of social interactions between humans and their physical interactions with the scene... (read more)

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