Learning to Infer Relations for Future Trajectory Forecast

Learning to Infer Relations for Future Trajectory Forecast

Conference

Abstract

Inferring relational behavior between road users as well as road users and their surrounding physical space is an important step toward effective modeling and prediction of navigation strategies adopted by participants in road scenes. To this end, we propose a relation-aware frame-work for future trajectory forecast, which aims to infer relational information from the interactions of road users with each other and with environments. Extensive evaluations on a public dataset demonstrate the robustness of the proposed framework as observed by performances higher than the state-of-the-art methods.

Details

PUBLISHED IN
Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2019
PUBLICATION DATE
16 juin 2019
AUTHORS
Chiho Choi, Behzad Dariush