Intelligent Transport Lab
Center for Cognitive Modeling MIPT
Center for Cognitive Modeling MIPT
About Lab
The Intelligent Transport Laboratory was created in 2019 at the Moscow Institute of Physics and Technology (MIPT) on the initiative of the Scientific and Design Bureau of Computer Systems (NKB VS). Together with the Laboratory of Cognitive Dynamic Systems, it is part of the Center for Cognitive Modeling MIPT.
The laboratory specializes in the design and creation of embedded integrated electronic control systems for various types of transport (including unmanned vehicles) and intelligent image processing and synthesis systems using deep machine learning methods, Big Data technologies, virtual and augmented reality, autonomous navigation and mapping (SLAM) methods. ) and etc.
The laboratory specializes in the design and creation of embedded integrated electronic control systems for various types of transport (including unmanned vehicles) and intelligent image processing and synthesis systems using deep machine learning methods, Big Data technologies, virtual and augmented reality, autonomous navigation and mapping (SLAM) methods. ) and etc.
Dmitry Yudin
Head of the Intelligent Transport Lab MIPT - NKB VS
candidate of technical sciences,
Associate Professor, Department of System Research, MIPT,
Senior Researcher, Laboratory of Cognitive Dynamical Systems
Research interests:
Technical vision
Artificial Intelligence
Deep learning
Robotics
Profile
Associate Professor, Department of System Research, MIPT,
Senior Researcher, Laboratory of Cognitive Dynamical Systems
Research interests:
Technical vision
Artificial Intelligence
Deep learning
Robotics
Profile
Main research topics
associated with the development of mathematical and software for intelligent transport systems:
associated with the development of mathematical and software for intelligent transport systems:
- Onboard multispectral vision systems;
- Navigation systems;
- Autonomous traffic control systems;
- Geographic Information Systems;
- Human-machine control interfaces;
- Virtual computer simulation
- External environment for practicing, training and
- Verification of control algorithms;
- Integrated on-board information and control systems.
Applied tools
Software development is carried out using Python and C++ programming languages, NVidia Cuda and TensorRT libraries, ROS robots operating system, Docker.
Many projects are related to integration into embedded systems, in particular with the use of NVidia Jetson Xavier, TX2 and Nano.
Tensorflow 2.0 and PyTorch are used as basic software platforms for researching deep learning algorithms.
Software development is carried out using Python and C++ programming languages, NVidia Cuda and TensorRT libraries, ROS robots operating system, Docker.
Many projects are related to integration into embedded systems, in particular with the use of NVidia Jetson Xavier, TX2 and Nano.
Tensorflow 2.0 and PyTorch are used as basic software platforms for researching deep learning algorithms.
Research and development directions
Partners
Team
- Dmitry YudinHead of the laboratory, Ph.D.Project management
- Ilya BelkinJunior Research Fellow, Master's student at MIPTVisual and lidar SLAM, embedded systems, integration of algorithms for unmanned vehicles and mobile robots
- Yaroslav SolomentsevJunior researcher, postgraduate student at MIPTVisual SLAM and global localization
- Yushaa MurhijJunior researcher, postgraduate student at MIPTObject detection and tracking in 3D point clouds, embedded systems
- Andrey KrishtopikResearch Engineer, Master's student at MIPTConstruction of a passability map, integration of algorithms for a mobile robot
- Vasily AdyoshkinResearch Engineer, Master's student at MIPTInstance segmentation of dynamic objects and prediction of their motion trajectories
- Linar AbdrazakovProgrammer, student of MIPTNeural network traing, Odometry data integration, integration of algorithms for a mobile robot
- Ilya BasharovResearch Engineer, Master's student at MIPTInstance segmenation and object tracking
- Sergey LinokProgrammer, student of the Moscow State Technical University. N.E. BaumanLocalization in dynamic systems, embedded systems
- Di Un PakResearch Engineer, HSE studentHD-maps generation, Semantic segmentation of lidar data
- Vitaly BezuglyjResearch Engineer, MEPhI studentMultiseason localization, 3D semantic mapping
- Alexandr GolodkovProgrammer, MIPT studentObject detection and classification in 3D point clouds
- Alexander MelekhinEngineerPlace recognition, Neural network training
- Alexander KhorinProgrammer, MIPT studentImage semantic segmentation
- Ilya PetryashinInternObject detection on images
- Margarita KichikIntern, MIPT studentObject detection, image labeling
- Denis MamatinInternMulticamera localization
- Svetlana LadanovaInternFusion of navigation data
- Darya OvchinnikovaIntern, MIPT studentImage semantic segmentation, Multitask learning
- Roman FilonovIntern, MIPT studentPlace recognition
- Dmitry LarichevIntern, MIPT studentMultimodal multitask neural networks
Contacts
Email: yudin.da@mipt.ru
141701, Moscow region,
Dolgoprudny, Institutskiy per., 9.
141701, Moscow region,
Dolgoprudny, Institutskiy per., 9.