DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments

The author proposes DOZE, a dataset addressing the limitations of existing datasets for Zero-Shot Object Navigation by incorporating dynamic obstacles, open-vocabulary objects, distinct-attribute objects, and hint objects. The dataset aims to challenge ZSON methods and improve navigation efficiency, safety, and object recognition accuracy.