3 accepted papers
We focus on the task of identifying the location of target regions from a natural language instruction and a front camera image captured by a mobility. This task is challenging because it requires both existence prediction and segmentation mask generation, particularly for stuff-type target regions…
Advancements in vehicle automation technology are expected to significantly impact how humans interact with vehicles. In this study, we propose a method to create user-friendly control interfaces for autonomous vehicles in urban environments. The proposed model predicts the vehicle's destination on
In this study, we develop a model that enables mobilities to have more friendly interactions with users. Specifically, we focus on the referring navigable regions task in which a model grounds navigable regions of the road using the mobility's camera image and natural language navigation instruction