Search Results for author: Andriy Sarabakha

Found 3 papers, 1 papers with code

Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing

no code implementations2 May 2024 Zhongzheng Qiao, Xuan Huy Pham, Savitha Ramasamy, Xudong Jiang, Erdal Kayacan, Andriy Sarabakha

In autonomous and mobile robotics, a principal challenge is resilient real-time environmental perception, particularly in situations characterized by unknown and dynamic elements, as exemplified in the context of autonomous drone racing.

Continual Learning

Image Generation for Efficient Neural Network Training in Autonomous Drone Racing

1 code implementation6 Aug 2020 Theo Morales, Andriy Sarabakha, Erdal Kayacan

Drone racing is a recreational sport in which the goal is to pass through a sequence of gates in a minimum amount of time while avoiding collisions.

Efficient Neural Network Image Generation +2

Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge

no code implementations26 May 2019 Andriy Sarabakha, Erdal Kayacan

In the former, a conventional controller performs a set of trajectories and, based on the input-output dataset, the deep neural network (DNN)-based controller is trained.

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