Browsing by Author "Rulko, E. V."
Now showing items 1-3 of 3
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Applying attention U-Net with PyTorch architectural add-ons for extensive hyperparameter search with Weights & Biases for area of visibility prediction based on terrain
(БНТУ, 2025)Current level of development in the sphere of deep learning allows replacing existing domain-specific algorithms for military simulation with approximating neural networks. Hyperparameter search allows finding network’s architecture, appropriate for a task. This work describes that process for the task of predicting area of optical visibility, taking a fragment of a digital map ...2025-08-25 -
Complexification through gradual involvement and reward providing in deep reinforcement learning
(БНТУ, 2024)Training a relatively big neural network within the framework of deep reinforcement learning that has enough capacity for complex tasks is challenging. In real life the process of task solving requires system of knowledge, where more complex skills are built upon previously learned ones. The same way biological evolution builds new forms of life based on a previously achieved ...2024-12-27 -
Terrain relative navigation based on deep feature template matching and visual odometry
(БНТУ, 2025)The main hurdle for terrain relative navigation systems is the incongruity of visual features between a patch of a satellite reference map and a view from an onboard UAV camera. Images are taken during different time of year, under different weather, vegetation and lighting conditions, with different angles of observation. This work proposes the usage of deep feature template ...2025-04-15
