Corpus ID: 225039984

Trajectory Prediction using Equivariant Continuous Convolution

@article{Walters2020TrajectoryPU,
  title={Trajectory Prediction using Equivariant Continuous Convolution},
  author={R. Walters and Jinxi Li and R. Yu},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.11344}
}

R. Walters, Jinxi Li, R. Yu

Published 2020

Computer Science

ArXiv

Trajectory prediction is a critical part of many AI applications, for example, the safe operation of autonomous vehicles. However, current methods are prone to making inconsistent and physically unrealistic predictions. We leverage insights from fluid dynamics to overcome this limitation by considering internal symmetry in trajectories. We propose a novel model, Equivariant Continous COnvolution (ECCO) for improved trajectory prediction. ECCO uses rotationally-equivariant continuous… CONTINUE READING

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