Valentyn N. Sichkar
About me
An engineer in Control Systems and Robotics, PhD student, currently working on Computer Vision algorithms, Image Processing, Deep Learning for Autonomous Vehicles. CNNs, YOLO v3, Python.
Courses
- Design, Train & Test deep CNN for Image Classification. Join here: https://www.udemy.com/course/convolutional-neural-networks-for-image-classification/
- Training YOLO v3 for Objects Detection with Custom Data. Build your own detector by labelling, training and testing on image, video and in real time with camera. Join here: https://www.udemy.com/course/training-yolo-v3-for-objects-detection-with-custom-data/
Publications
- Sichkar V. N. "Design of Deep CNN Model for Effective Traffic Signs Recognition," 2021 International Russian Automation Conference (RusAutoCon), Sochi, Russia, 2021, pp. 367-373. doi: 10.1109/RusAutoCon52004.2021.9537445
- Sichkar V. N. Real time detection and classification of traffic signs based on YOLO version 3 algorithm. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2020, vol. 20, no. 3, pp. 418–424. doi: 10.17586/2226-1494-2020-20-3-418-424 (Full-text available also here ResearchGate.net/profile/Valentyn_Sichkar)
- Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot," 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, Russia, 2019, pp. 1-5. doi: 10.1109/ICIEAM.2019.8742915 (Full-text available also here ResearchGate.net/profile/Valentyn_Sichkar)
- Sichkar V. N. Effect of various dimension convolutional layer filters on traffic sign classification accuracy. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2019, vol. 19, no. 3, pp. doi: 10.17586/2226-1494-2019-19-3-546-552 (Full-text available also here ResearchGate.net/profile/Valentyn_Sichkar)
- Sichkar V. N. "Fingerprint Identification as Access Control System," 2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Moscow, Russia, 2018, pp. 1-4. doi: 10.1109/ICIEAM.2018.8728874
- Sichkar V. N. Comparison analysis of knowledge based systems for navigation of mobile robot and collision avoidance with obstacles in unknown environment. St. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems, 2018, Vol. 11, No. 2, Pp. 64–73. doi: 10.18721/JCSTCS.11206 (Full-text available also here ResearchGate.net/profile/Valentyn_Sichkar)
Projects
- The study of Neural Networks for Computer Vision in Autonomous Vehicles and Robotics for Detection and Classification. Available at: sichkar-valentyn.github.io - Neural Networks for Computer Vision
- The investigation of Reinforcement Learning for the tasks of shortest path planning. Available at: sichkar-valentyn.github.io - Reinforcement Learning in Python
- Intelligent Navigation System of mobile robot with ten Ultrasonic sensors, user interface via C# Windows Form Application, instructions and videos on how to assemble mobile robotic platform. Available at: sichkar-valentyn.github.io - Intelligent Mobile Robot
- The research results for Neural Network Knowledge Based system for the tasks of collision avoidance. Available at: sichkar-valentyn.github.io - Matlab implementation of Neural Networks
Awards
- Winner of Vladimir Potanin Fellowship Program in 2017
Research work
- Alarm-Warning System of the Autonomous Vehicle. Available at: Academia.edu - Alarm-Warning System of the Autonomous Vehicle
- Arduino & C# application based parameter set control of five ultrasonic sensors. Available at: Academia.edu - Arduino and C application based parameter set control of five ultrasonic sensors
- Monitoring system of moving objects in real time on the basis of ultrasonic sensors. Available at: Academia.edu - Monitoring system of moving objects in real time on the basis of Ultrasonic sensors