OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing
Huy Xuan Pham, Andriy Sarabakha, Mykola Odnoshyvkin, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 11847-11854
Open Access | Times Cited: 12
Huy Xuan Pham, Andriy Sarabakha, Mykola Odnoshyvkin, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 11847-11854
Open Access | Times Cited: 12
Showing 12 citing articles:
Autonomous Drone Racing: A Survey
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, et al.
IEEE Transactions on Robotics (2024) Vol. 40, pp. 3044-3067
Open Access | Times Cited: 26
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, et al.
IEEE Transactions on Robotics (2024) Vol. 40, pp. 3044-3067
Open Access | Times Cited: 26
A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 2, pp. 1899-1906
Open Access | Times Cited: 5
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 2, pp. 1899-1906
Open Access | Times Cited: 5
Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots
Halil İbrahim Uğurlu, Huy Xuan Pham, Erdal Kayacan
Robotics (2022) Vol. 11, Iss. 5, pp. 109-109
Open Access | Times Cited: 9
Halil İbrahim Uğurlu, Huy Xuan Pham, Erdal Kayacan
Robotics (2022) Vol. 11, Iss. 5, pp. 109-109
Open Access | Times Cited: 9
Quantifying the Simulation–Reality Gap for Deep Learning-Based Drone Detection
Tamara Regina Dieter, Andreas Weinmann, Stefan Jäger, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2197-2197
Open Access | Times Cited: 4
Tamara Regina Dieter, Andreas Weinmann, Stefan Jäger, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2197-2197
Open Access | Times Cited: 4
Toward Zero-Shot Sim-to-Real Transfer Learning for Pneumatic Soft Robot 3D Proprioceptive Sensing
Uksang Yoo, Hanwen Zhao, A. Altamirano, et al.
(2023)
Open Access | Times Cited: 4
Uksang Yoo, Hanwen Zhao, A. Altamirano, et al.
(2023)
Open Access | Times Cited: 4
anafi_ros: from Off-the-Shelf Drones to Research Platforms
Andriy Sarabakha, Ponnuthurai Nagaratnam Suganthan
2022 International Conference on Unmanned Aircraft Systems (ICUAS) (2023)
Open Access | Times Cited: 3
Andriy Sarabakha, Ponnuthurai Nagaratnam Suganthan
2022 International Conference on Unmanned Aircraft Systems (ICUAS) (2023)
Open Access | Times Cited: 3
MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection
Olaya Álvarez-Tuñón, Hemanth Kanner, Luiza Ribeiro Marnet, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 6141-6148
Closed Access | Times Cited: 3
Olaya Álvarez-Tuñón, Hemanth Kanner, Luiza Ribeiro Marnet, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 6141-6148
Closed Access | Times Cited: 3
Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing
Zhongzheng Qiao, Huy Xuan Pham, Savitha Ramasamy, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
Zhongzheng Qiao, Huy Xuan Pham, Savitha Ramasamy, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
A comprehensive review on zero-shot-learning techniques
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Aristidis G. Vrahatis, et al.
Intelligent Decision Technologies (2024), pp. 1-28
Closed Access
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Aristidis G. Vrahatis, et al.
Intelligent Decision Technologies (2024), pp. 1-28
Closed Access
A comprehensive review on zero-shot-learning techniques
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Aristidis G. Vrahatis, et al.
Intelligent Decision Technologies (2024) Vol. 18, Iss. 2, pp. 1001-1028
Closed Access
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Aristidis G. Vrahatis, et al.
Intelligent Decision Technologies (2024) Vol. 18, Iss. 2, pp. 1001-1028
Closed Access
Autonomous Drone Racing: A Survey
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
