Traditional methods for measuring digital out-of-home (DOOH) advertising effectiveness
often rely on static data or camera footage, leading to limitations in accuracy and real-time …

Exploiting sensitive human data in human visual monitoring system violates individual's
privacy. Hence, this study utilized a Light Detection and Ranging (LiDAR)-generated three …

The remarkable growth of unmanned aerial vehicles (UAVs) has also sparked concerns
about safety measures during their missions. To advance towards safer autonomous aerial …

Outdoor advertising, such as roadside billboards, plays a significant role in marketing
campaigns but can also be a distraction for drivers, potentially leading to accidents. In this …

The deployment of autonomous vehicles (AVs) is rapidly expanding to numerous cities. At
the heart of AVs, the object detection module assumes a paramount role, directly influencing …

The remarkable growth of unmanned aerial vehicles (UAVs) has also sparked concerns
about safety measures during their missions. To advance towards safer autonomous aerial …

In this article, we explore the potential of zero-shot Large Multimodal Models (LMMs) in the
domain of drone perception. We focus on person detection and action recognition tasks and …

The demand for safety-boosting systems is increasing, especially nowadays, to limit the
rapid spread of COVID-19. Real-time life-logging is an essential application towards tracking …

Accurately and reliably perceiving the environment is a major challenge in autonomous
driving and robotics research. Traditional vision-based methods often suffer from varying …

The growing intelligence and prevalence of drones have led to an increase in their
disorderly and illicit usage, posing substantial risks to aviation and public safety. This paper …