Multi-object tracking (MOT) is an important problem in computer vision that has a wide range
of applications. Currently, object occlusion detecting is still a serious challenge in multi …

Video surveillance systems are integral to bolstering safety and security across multiple
settings. With the advent of deep learning (DL), a specialization within machine learning …

In response to the global megatrends of digitalization and transportation automation, Turku
University of Applied Sciences has developed a test platform to advance autonomous …

In emergency situations, every second counts for an ambulance navigating through traffic.
Efficient use of traffic light systems can play a crucial role in minimizing response time. This …

Anthropogenic waste deposition in aquatic environments precipitates a decline in water
quality, engendering pollution that adversely impacts human health, ecological integrity, and …

Featured Application An artificial intelligence-driven elderly monitoring system that
preserves the visual privacy of the subjects under surveillance while providing essential …

A multi-objective pedestrian tracking method based on you only look once-v8 (YOLOv8) and
the improved simple online and real time tracking with a deep association metric …

This paper addresses the imperative need for implementing Safety Assurance Cases (SAC)
utilizing machine learning, specifically the YOLOv8 algorithm, in the context of Autonomous …

This thesis explores the development of an autonomous system, designed for B&R Industrial
Automation to demonstrate autonomous solutions on their products without any operator …

Zusammenfassung Die Verwendung überwachter Lernalgorithmen aus dem Bereich der
künstlichen Intelligenz hält vermehrt Einzug im wissenschaftlichen Alltag. Vor allem die …