Некоторые подходы нашей команды, которые можно будет развивать:
- Мультимодальное распознавание места: A Melekhin, D Yudin, I Petryashin, V Bezuglyj MSSPlace: Multi-Sensor Place Recognition with Visual and Text Semantics arXiv preprint arXiv:2407.15663, 2024
- Melekhin, A., Bezuglyj, V., Petryashin, I., Muravyev, K., Linok, S., Yudin, D. and Panov, A., 2024, October. ITLP-Campus: A Dataset for Multimodal Semantic Place Recognition. In International Conference on Intelligent Information Technologies for Industry (pp. 185-195). https://link.springer.com/chapter/10.1007/978-3-031-77688-5_18
- Локализация по топологическим картам: Muravyev, K., Melekhin, A., Yudin, D. and Yakovlev, K., 2025. PRISM-TopoMap: online topological mapping with place recognition and scan matching. IEEE Robotics and Automation Letters. https://ieeexplore.ieee.org/abstract/document/10884060
- Muravyev, K., Yuryev, V., Bulichev, O., Yudin, D. and Yakovlev, K., 2025. PRISM-Loc: a Lightweight Long-range LiDAR Localization in Urban Environments with Topological Maps. arXiv preprint arXiv:2506.15849. https://arxiv.org/abs/2506.15849
- Лидарное распознавание места: A Melekhin, D Yudin. Impact of Loss Functions on the Training of LiDAR-based Place Recognition Models International Conference on Intelligent Information Technologies for Industry, 2023
- Построение графов 3D-сцены: S Linok, T Zemskova, S Ladanova, R Titkov, D Yudin Beyond Bare Queries: Open-Vocabulary Object Retrieval with 3D Scene Graph arXiv preprint arXiv:2406.07113, 2024