Browsing by Author "Valderi Reis Quietinho Leithardt"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
- Automated Road Damage Detection using UAV Images and Deep Learning TechniquesPublication . Luís Augusto Silva; Valderi Reis Quietinho Leithardt; Vivian F. López Batista; Gabriel Villarrubia González; Juan F. De Paz SantanaThis paper presents a novel automated road damage detection approach using Unmanned Aerial Vehicle (UAV) images and deep learning techniques. Maintaining road infrastructure is critical for ensuring a safe and sustainable transportation system. However, the manual collection of road damage data can be labor-intensive and unsafe for humans. Therefore, we propose using UAVs and Artificial Intelligence (AI) technologies to improve road damage detection’s efficiency and accuracy significantly. Our proposed approach utilizes three algorithms, YOLOv4, YOLOv5, and YOLOv7, for object detection and localization in UAV images. We trained and tested these algorithms using a combination of the RDD2022 dataset from China and a Spanish road dataset. The experimental results demonstrate that our approach is efficient and achieves 59.9% mean average precision mAP@.5 for the YOLOv5 version, 73.20% mAP@.5 for the YOLOv7 version, and 65.70% mAP@.5 for a YOLOv5 model with a Transformer Prediction Head. These results demonstrate the potential of using UAVs and deep learning for automated road damage detection and pave the way for future research in this field.
- Classification of insulators using neural network based on computer visionPublication . Stéfano Frizzo Stefenon; Marcelo Picolotto Corso; Ademir Nied; Fabio Luis Perez; Kin-Choong Yow; Gabriel Villarrubia Gonzalez; Valderi Reis Quietinho Leithardt
- Executive Functions, Motor Development, and Digital Games Applied to Elementary School Children: A Systematic Mapping StudyPublication . Victória Branca Moron; Débora Nice Ferrari Barbosa; Gustavo Roese Sanfelice; Jorge Luis Victória Barbosa; Daiana R. F. Leithardt; Valderi Reis Quietinho LeithardtStudies show that executive functions and motor development are associated with each other and with learning ability. A more technological lifestyle combined with digital culture should be considered a viable alternative to stimulate children’s development. Therefore, this study aimed to present a systematic mapping of the literature involving executive functions, motor development, and the use of digital games in intervention programs for elementary school children from 6 to 11 years old. Four databases were researched: PubMed, Scielo, Science Direct, and SCOPUS, including publications between 2012 and March 2021. The initial results indicated 4881 records. After the selection process, 15 manuscripts that presented the central theme of the study were selected. The main results indicated that intervention strategies are rather heterogeneous. Most of the studies demonstrated efficient results after intervention protocols, many of them were conducted in Europe, and 46% occurred in a school environment. No research was identified involving technological solutions using executive functions, motor development, and digital games in an integrated manner. Hence, this constitutes a field of future scientific research.