The autonomous driving community has witnessed a rapid growth in approaches that
embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle …

Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …

The integration of advanced image analysis using artificial intelligence (AI) is pivotal for the
evolution of autonomous vehicles (AVs). This article provides a thorough review of the most …

Vision-and-Language Navigation (VLN) has gained increasing attention over recent years
and many approaches have emerged to advance their development. The remarkable …

Recent advancements in foundation models (FMs) have unlocked new prospects in
autonomous driving, yet the experimental settings of these studies are preliminary …

Traditional Vision-and-Language Navigation (VLN) tasks require an agent to navigate static
environments using natural language instructions. However, real-world road conditions such …