In recent developments within the research community, the integration of Large Language
Models (LLMs) in creating fully autonomous agents has garnered significant interest …

This paper explores the potential of Large Language Models (LLMs) in zero-shot anomaly
detection for safe visual navigation. With the assistance of the state-of-the-art real-time open …

In the realm of autonomous vehicles, society is undergoing a transition from conventional
human-driven vehicles to autonomous driving systems. Therefore, there is an increasing …

Objective To understand the priorities and preferences of people with disabilities (PwDs)
and older adults regarding accessible autonomous vehicles (AVs) to address existing …

Many AI platforms, including traffic monitoring systems, use Federated Learning (FL) for
decentralized sensor data processing for learning-based applications while preserving …

Interactive user interfaces have increasingly explored AI's role in enhancing communication
efficiency and productivity in collaborative tasks. The emergence of Large Language Models …

Motion analysis plays a critical role in various applications, from virtual reality and
augmented reality to assistive visual navigation. Traditional self-driving technologies, while …

Traffic accident prediction is crucial for enhancing road safety and mitigating congestion,
and recent Graph Neural Networks (GNNs) have shown promise in modeling the inherent …

Colour plays a vital role in modern architectural design, particularly in healthcare and
wellness environments. This section provides an insight into how colour can significantly …

As the aging population grows and technology persists, autonomous vehicles (AVs) present
a significant opportunity to enhance safety and mobility for the elderly. This qualitative …