| 2D SLAM quality evaluation methods A Filatov, A Filatov, K Krinkin, B Chen, D Molodan 2017 21st Conference of Open Innovations Association (FRUCT), 120-126, 2017 | 65 | 2017 |
| Evaluation of modern laser based indoor slam algorithms K Krinkin, A Filatov, A yom Filatov, A Huletski, D Kartashov 2018 22nd Conference of Open Innovations Association (FRUCT), 101-106, 2018 | 41 | 2018 |
| Data distribution services performance evaluation framework K Krinkin, A Filatov, A Filatov, O Kurishev, A Lyanguzov 2018 22nd Conference of Open Innovations Association (FRUCT), 94-100, 2018 | 21 | 2018 |
| Modern multi-agent slam approaches survey K Krinkin, A Filatov, A Filatov Proceedings of the XXth Conference of Open Innovations Association FRUCT 776 …, 2017 | 11 | 2017 |
| Multi-agent SLAM approaches for low-cost platforms A Filatov, K Krinkin 2019 24th Conference of Open Innovations Association (FRUCT), 89-95, 2019 | 7 | 2019 |
| Multi-drone 3D building reconstruction method A Filatov, M Zaslavskiy, K Krinkin Mathematics 9 (23), 3033, 2021 | 6 | 2021 |
| A simplistic approach for lightweight multi-agent SLAM algorithm A Filatov, K Krinkin International Journal of Embedded and Real-Time Communication Systems …, 2020 | 5 | 2020 |
| Correlation filter of 2D laser scans for indoor environment K Krinkin, A Filatov Robotics and Autonomous Systems 142, 103809, 2021 | 4 | 2021 |
| Autonomous wheels and camera calibration in duckietown project K Krinkin, K Chayka, A Filatov, A Filatov Procedia Computer Science 186, 169-176, 2021 | 4 | 2021 |
| The scan matchers research and comparison: Monte-carlo, olson and hough K Krinkin, A Filatov, A Filatov, A Huletski, D Kartashov 2016 19th Conference of Open Innovations Association (FRUCT), 99-105, 2016 | 4 | 2016 |
| Automatic wheels and camera calibration for monocular and differential mobile robots K Chaika, A Filatov, A Filatov, K Krinkin Applied Sciences 11 (13), 5806, 2021 | 3 | 2021 |
| Personalization of convolutional neural networks within the stress detection task using heart rate variability data MO Dobrokhvalov, AY Filatov Научно-технический вестник информационных технологий, механики и оптики 23 …, 2023 | 2 | 2023 |
| Accurate Anomaly Detection in Medical Images using Transfer Learning and Data Optimization: MRI and CT as Case Studies Y Nizamli, AY Filatov, W Fadel, YA Shichkina 2024 V International Conference on Neural Networks and Neurotechnologies …, 2024 | | 2024 |
| Two-branch Convolutional Networks for Stress Detection from Biomedical Data MO Dobrokhvalov, AY Filatov 2024 XXVII International Conference on Soft Computing and Measurements (SCM …, 2024 | | 2024 |
| Improving Transfer Learning Performance for Abnormality Detection in Brain MRI Images Using Feature Optimization Techniques YA Nizamli, AY Filatov 2024 XXVII International Conference on Soft Computing and Measurements (SCM …, 2024 | | 2024 |
| EPILEPTIC ACTIVITY OR EEG SIMILAR TO EPILEPTIC ACTIVITY. HOW TO RECOGNIZE? REVIEW NL Guseva, NB Suvorov, EA Agapova, TV Sergeev, YA Shichkina, ... Medical academic journal, 2024 | | 2024 |
| Scalable Algorithms for Simultaneous Mapping and Localization of Mobile Robot Swarms A Filatov, K Krinkin Autonomous Mobile Mapping Robots, 2022 | | 2022 |
| Merging occupancy grid map based on Transferable Belief Model D Maxim, A Filatov Sixth Conference on Software Engineering and Information Management (SEIM …, 2021 | | 2021 |
| Enhancing Robustness and Accuracy of 3D SLAM Algorithm Using Dempster-Shafer Theory T Berlenko, A Filatov | | |
Mark Zaslavskiy (Марк Заславский)СПБГЭТУ "ЛЭТИ"在 etu.ru 的电子邮件经过验证
Mark Zaslavskiy (Марк Заславский)СПБГЭТУ "ЛЭТИ"在 etu.ru 的电子邮件经过验证
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