The paper highlights the need for standardizing the use of certain datasets for motion forecasting research to simplify comparative analysis. It proposes a set of tools and practices in the form of an open-sourced toolbox designed for researchers working on trajectory prediction problems.
The key aspects of the toolbox include:
Standardized preprocessing pipeline:
Evaluation metrics:
Modular and extensible design:
The toolbox aims to alleviate the technical burden of developing research pipelines, thereby accelerating discoveries in the trajectory prediction field. It also opens up several future research directions, such as investigating scenario-specific performance, model generalization and zero-shot learning, and transfer learning across datasets.
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