Intelligent Transport Lab
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.
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

Main research topics
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.
Research and development directions

Dmitry Yudin
Head of the laboratory, Ph.D.
Project management
Ilya Belkin
Junior Research Fellow, Master's student at MIPT
Visual and lidar SLAM, embedded systems, integration of algorithms for unmanned vehicles and mobile robots
Yaroslav Solomentsev
Junior researcher, postgraduate student at MIPT
Visual SLAM and global localization
Yushaa Murhij
Junior researcher, postgraduate student at MIPT
Object detection and tracking in 3D point clouds, embedded systems
Andrey Krishtopik
Research Engineer, Master's student at MIPT
Construction of a passability map, integration of algorithms for a mobile robot
Vasily Adyoshkin
Research Engineer, Master's student at MIPT
Instance segmentation of dynamic objects and prediction of their motion trajectories
Linar Abdrazakov
Programmer, student of MIPT
Neural network traing, Odometry data integration, integration of algorithms for a mobile robot
Ilya Basharov
Research Engineer, Master's student at MIPT
Instance segmenation and object tracking
Sergey Linok
Programmer, student of the Moscow State Technical University. N.E. Bauman
Localization in dynamic systems, embedded systems
Di Un Pak
Research Engineer, HSE student
HD-maps generation, Semantic segmentation of lidar data
Vitaly Bezuglyj
Research Engineer, MEPhI student
Multiseason localization, 3D semantic mapping
Alexandr Golodkov
Programmer, MIPT student
Object detection and classification in 3D point clouds
Alexander Melekhin
Place recognition, Neural network training
Alexander Khorin
Programmer, MIPT student
Image semantic segmentation
Ilya Petryashin
Object detection on images
Margarita Kichik
Intern, MIPT student
Object detection, image labeling
Denis Mamatin
Multicamera localization
Svetlana Ladanova
Fusion of navigation data
Darya Ovchinnikova
Intern, MIPT student
Image semantic segmentation, Multitask learning
Roman Filonov
Intern, MIPT student
Place recognition
Dmitry Larichev
Intern, MIPT student
Multimodal multitask neural networks
141701, Moscow region,
Dolgoprudny, Institutskiy per., 9.