Vehicle Automation Field Test: Impact on Driver Behavior and Trust. - Walter Morales-Alvarez; Nikita Smirnov; Elmar Matthes; Cristina Olaverri-Monreal (ITSC, 2020)

Mobile Delivery Robots: Mixed Reality-Based Simulation Relying on ROS and Unity 3D. - Yuzhou Liu; Georg Novotny; Nikita Smirnov; Walter Morales-Alvarez; Cristina Olaverri-Monreal (IV, 2020)

Autonomous Driving: Framework for Pedestrian Intention Estimation in a Real World Scenario. - Walter Morales-Alvarez; Francisco Miguel Moreno; Oscar Sipele; Nikita Smirnov; Cristina Olaverri-Monreal (IV, 2020)

Autonomous Driving: Framework for Pedestrian Intention Estimationin a Real World Scenario. - Walter Morales-Alvarez; Francisco Miguel Moreno; Oscar Sipele; Nikita Smirnov; Cristina Olaverri-Monreal (CoRR, 2020)

A Game Theory-Based Approach for Modeling Autonomous Vehicle Behavior in Congested, Urban Lane-Changing Scenarios. - Nikita Smirnov; Yuzhou Liu; Aso Validi; Walter Morales-Alvarez; Cristina Olaverri-Monreal (Sensors, 2021)

Navigation Support for an Autonomous Ferry Using Deep Reinforcement Learning in Simulated Maritime Environments. - Nikita Smirnov; Sven Tomforde (CogSIMA, 2022)

Development of a ROS-Based Architecture for Intelligent Autonomous on Demand Last Mile Delivery. - Georg Novotny; Walter Morales-Alvarez; Nikita Smirnov; Cristina Olaverri-Monreal (EUROCAST, 2022)

Interaction of Autonomous and Manually-Controlled Vehicles: Implementation of a Road User Communication Service. - Nikita Smirnov; Sebastian Tschernuth; Walter Morales-Alvarez; Cristina Olaverri-Monreal (IV, 2022)

Semi-Autonomous Electric Vehicles in Platooning Mode and Their Effects on Travel Time: A Framework for Simulation Evaluation. - Aso Validi; Nikita Smirnov; Cristina Olaverri-Monreal (IV, 2022)

Real-Time Data Transmission Optimization on 5G Remote-Controlled Units Using Deep Reinforcement Learning. - Nikita Smirnov; Sven Tomforde (ARCS, 2023)

Transcranial Magnetic Stimulation of the Dorsolateral Prefrontal Cortex Increases Posterior Theta Rhythm and Reduces Latency of Motor Imagery. - Semen A. Kurkin; Susanna Yu Gordleeva; Andrey O. Savosenkov; Nikita A. Grigorev; Nikita Smirnov; Vadim V. Grubov; Anna Udoratina; Vladimir A. Maksimenko; Victor B. Kazantsev; Alexander E. Hramov (Sensors, 2023)

Preprocessed 32 channel EEG during motor imagery task and real/sham rTMS. - Susanna Yu Gordleeva; Semen A. Kurkin; Andrey O. Savosenkov; Nikita A. Grigorev; Nikita Smirnov; Vadim V. Grubov; Anna Udoratina; Vladimir A. Maksimenko; Victor B. Kazantsev; Alexander E. Hramov (IEEE DataPort, 2023)

Gymir5G: A Simulation Platform to Study Data Transmission over WebRTC in 5G Networks with Deep Learning Assistance. - Nikita Smirnov; Sven Tomforde (SoftCOM, 2024)

Beyond Pairwise Interactions: Higher-Order Q-Analysis of fMRI-Based Brain Functional Networks in Patients With Major Depressive Disorder. - Semen A. Kurkin; Nikita Smirnov; Rositsa Paunova; Sevdalina Kandilarova; Drozdstoy Stoyanov; Larisa Mayorova; Alexander E. Hramov (IEEE Access, 2024)

Exploring the Dynamics of Data Transmission in 5G Networks: A Conceptual Analysis. - Nikita Smirnov; Sven Tomforde (CoRR, 2024)

Real-time rate control of WebRTC video streams in 5G networks: Improving quality of experience with Deep Reinforcement Learning. - Nikita Smirnov; Sven Tomforde (J. Syst. Archit., 2024)