  The availability of high-quality datasets is crucial for the development of
behavior prediction algorithms in autonomous vehicles. This paper highlights
the need for standardizing the use of certain datasets for motion forecasting
research to simplify comparative analysis and proposes a set of tools and
practices to achieve this. Drawing on extensive experience and a comprehensive
review of current literature, we summarize our proposals for preprocessing,
visualizing, and evaluation in the form of an open-sourced toolbox designed for
researchers working on trajectory prediction problems. The clear specification
of necessary preprocessing steps and evaluation metrics is intended to
alleviate development efforts and facilitate the comparison of results across
different studies. The toolbox is available at:
https://github.com/westny/dronalize.
