Trajectory Prediction using Equivariant Continuous Convolution

Understand

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 real-world trajectories.
• We propose a novel model, Equivariant Continous COnvolution (ECCO) for improved trajectory prediction.