Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

Large Language Models (LLMs) recently demonstrated extraordinary capability in various
natural language processing (NLP) tasks including language translation, text generation …

We study how vision-language models (VLMs) trained on web-scale data can be integrated
into end-to-end driving systems to boost generalization and enable interactivity with human …

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 …

Adapting driving behavior to new environments customs and laws is a long-standing
problem in autonomous driving precluding the widespread deployment of autonomous …

This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …

Foundation models, eg, large language models (LLMs), trained on internet-scale data
possess zero-shot generalization capabilities that make them a promising technology …

Abstract Video Anomaly Detection (VAD) is crucial for applications such as security
surveillance and autonomous driving. However, existing VAD methods provide little …

The mapping process generally involves intricate operations, such as symbol design, layout
design, and text annotation, demanding a high level of professional expertise. The high …

Decision-makers in GIS need to combine a series of spatial algorithms and operations to
solve geospatial tasks. For example, in the task of facility siting, the Buffer tool is usually first …