Automatic respiration monitoring of dairy cows in modern farming not only helps to reduce
manual labor but also increases the automation of health assessment. It is common for cows …

Lane detection, as one of the most important core functions in the autonomous driving
environment, is still an open problem. In particular, pursuing high accuracy in complex …

Newly introduced vehicles come with various added functions, each time utilizing data from
different sensors. One prominent related function is autonomous driving, which is performed …

A major obstacle to the development of effective monocular depth estimation algorithms is
the difficulty in obtaining high-quality depth data that corresponds to collected RGB images …

As a research hotspot, pedestrian detection has a wide range of applications in the field of
computer vision in recent years. However, current pedestrian detection methods have …

The research proposes improving night-time driving safety by handling high-resolution car
projector lights. Internet of Things (IoT) and Computer Vision technology are employed in …

In order to maintain road safety and effective traffic management, it is essential to recognize
and classify traffic signs. With the rapid increment in the number of vehicles on the road …

Περίληψη Το ολοένα και αυξανόμενο ενδιαφέρον για αποτελεσματικές μεθόδους ανίχνευσης
αντικειμένων στο επίπεδο παραγωγής έχει ωθήσει την αναζήτηση καινοτόμων λύσεων για την …

AbstractThe key accomplishments of the project are summarized as follows. The team
conducted a literature review on computer vision for smart cities with a focus on …

In the present day, Road boundary detection is one of the most focused problems as it is a
causative for many road accidents. To ensure the passenger's safety an accurate model that …