Collision risk assessment aims to provide a subjective cognitive comprehension of the risk
level in driving scenarios, which is critical for the safety of autonomous driving systems …

Recently, beyond object detection and segmentation, high-level understanding of
autonomous driving scenarios is attracting increasing attention. And traffic scene graph has …

In this manuscript, we introduce a semi-automatic scene graph annotation tool for images,
the GeneAnnotator. This software allows human annotators to describe the existing …

With the development of deep learning technology, the problem of data‐driven trajectory
prediction and intention recognition has been widely studied. However, the pedestrian …

Understanding driving scenarios is a critical issue in autonomous driving, as it allows
developers to create more effective and reliable autonomous driving systems. However, the …

In Smart City applications, urban mobility involves complex interactions between traffic
infrastructure, diverse road users, and physical environment. This paper addresses the …