Repozytorium publikacji - Politechnika Gdańska

Efficient pedestrian detection is a very important task in ensuring safety within road conditions, especially after sunset. One way to achieve this goal is to use thermal imaging in conjunction with deep learning methods and an annotated dataset for models training. In this work, such a dataset has been created by capturing thermal images of pedestrians in different weather and traffic conditions. All images were manually annotated with bounding boxes. As a result, the created dataset consists of 9178 annotated, thermal images that can be used in many applications including nighttime pedestrian detection.

Autorzy

• Aleksandra Górska link otwiera się w nowej karcie ,
• Patrycja Guzal link otwiera się w nowej karcie ,
• Aleksandra Wędołowska link otwiera się w nowej karcie ,
• Martyna Włoszczyńska link otwiera się w nowej karcie ,
• prof. dr hab. inż. Jacek Rumiński link otwiera się w nowej karcie