Intelligent driving systems aim to achieve a zero-collision mobility experience, requiring
interdisciplinary efforts to enhance safety performance. This work focuses on risk …

The ability to identify important objects in a complex and dynamic driving environment is
essential for autonomous driving agents to make safe and efficient driving decisions. It also …

具身智能强调了大脑, 身体及环境三者的相互作用, 旨在基于机器与物理世界的交互,
创建软硬件结合, 可自主学习进化的智能体. 当前, 机器学习, 机器人学, 认知科学等多学科技术的 …

A traffic scene graph effectively models relationships among traffic entities and holds
significant importance in enhancing the high-level scene-understanding capabilities of …

Driving behavior prediction (DBP) plays an important role in autonomous driving systems.
Accurately anticipating driving behaviors of ego-vehicles, such as lane changes or left/right …

This paper addresses the problem of on-road object importance estimation, which utilizes
video sequences captured from the driver's perspective as the input. Although this problem …

We study behavior change-based visual risk object identification (Visual-ROI), a critical
framework designed to detect potential hazards for intelligent driving systems. Existing …

Driving behavior prediction (DBP) plays an important role in autonomous driving. Accurately
anticipating driving behaviors (eg, left turn, right turn) of ego-vehicles 3–5 seconds before …