Yazar "Al-Adhami, Abdulrahman Abdulwahab Kaml" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • [ X ]
    Öğe
    Obstacle avoidance in mobile robots in RGB-D images using deep neural network and semantic segmentation
    (Institute of Electrical and Electronics Engineers Inc., 2022) Al-Adhami, Abdulrahman Abdulwahab Kaml; Cansever, Galip
    Automating industrial and commercial activities through the use of manipulative robots capable of movement and carrying a variety of products is gaining popularity. When it comes to mobile robots, their operating systems are more complex, which means they are more in demand due to their use in research, which increases their price. These devices run on a variety of operating systems. Obstacle avoidance, line tracking, and mobile explorers are just a few examples. As a result of our findings, we propose a vision system that utilizes a feature extraction and classification algorithm DNN for obstacles in RGB-D images in order to detect and avoid obstacles in known environments.
  • [ X ]
    Öğe
    Robot path planning with avoiding obstacles in know environment using area segments and obstacle classification
    (Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022) Al-Adhami, Abdulrahman Abdulwahab Kaml; Cansever, Galip
    Robotics today are integrated into the modern environment in automated production systems where manipulative robots are used in commercial and industrial activities to maneuver or have a variety of products available. On the other hand, sbibor ebibom have boere sroebtm of operation such as obstacle avoidance, line trackers, and mobile explorers; These robots are required to have a greater demand due to their high complexity in their operating system since they are used in research methods. For this reason, we propose a vision system whose main purpose is to detect and avoid bimoatormcle in know environments by deploying a feature extraction and classification algorithm DNN of obstacles in RGB-D images.