In the field of autonomous vehicles (AVs), accurately discerning commander intent and
executing linguistic commands within a visual context presents a significant challenge. This …

The applications of Vision-Language Models (VLMs) in the fields of Autonomous Driving
(AD) and Intelligent Transportation Systems (ITS) have attracted widespread attention due to …

In the field of autonomous driving, two important features of autonomous driving car systems
are the explainability of decision logic and the accuracy of environmental perception. This …

The applications of Vision-Language Models (VLMs) in the field of Autonomous Driving (AD)
have attracted widespread attention due to their outstanding performance and the ability to …

Foundation models have indeed made a profound impact on various fields, emerging as
pivotal components that significantly shape the capabilities of intelligent systems. In the …

Multi-modal large language models (MLLMs) have shown incredible capabilities in a variety
of 2D vision and language tasks. We extend MLLMs' perceptual capabilities to ground and …

Embodied perception is essential for intelligent vehicles and robots, enabling more natural
interaction and task execution. However, these advancements currently embrace vision …

LiDAR sensors play a crucial role in various applications, especially in autonomous driving.
Current research primarily focuses on optimizing perceptual models with point cloud data as …