Social relation and physical lane aggregator: integrating social and physical features for multimodal motion prediction

HIGHLIGHTS

• who: Social relation and collaborators from the China and School of Artificial Intelligence, University of Chinese Academy of Sciences, China have published the research: Social relation and physical lane aggregator: integrating social and physical features for multimodal motion prediction, in the Journal: (JOURNAL)
• what: The aim of this paper aims to model interaction relationship of traffic agents for motion prediction which is critical for autonomous driving. In this paper, social relation and physical lane aggregator are proposed to model both interactions between traffic agents and interactions between traffic agents and physical lanes, which is shown . . .
  

   

  

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