Smartphone-based two-wheeled self-balancing vehicles rider assistant. - Alexander V. Smirnov 001; Alexey M. Kashevnik; Igor Lashkov; Naohisa Hashimoto; Ali Boyali (FRUCT, 2015)

Ontology-Based Approach and Implementation of ADAS System for Mobile Device Use While Driving. - Igor Lashkov; Alexander V. Smirnov 001; Alexey M. Kashevnik; Vladimir Parfenov (KESW, 2015)

Use cases for rider assistant mobile application evaluation using travelling simulator. - Naohisa Hashimoto; Takashi Okuma; Seiichi Miyakoshi; Kohji Tomita; Osamu Matsumoto; Alexander V. Smirnov 001; Alexey M. Kashevnik; Igor Lashkov (FRUCT, 2016)

Smartphone-based identification of dangerous driving situations: Algorithms and implementation. - Alexander V. Smirnov 001; Alexey M. Kashevnik; Igor Lashkov; Olesya Baraniuc; Vladimir Parfenov (FRUCT, 2016)

Human-Smartphone Interaction for Dangerous Situation Detection and Recommendation Generation While Driving. - Alexander V. Smirnov 001; Alexey M. Kashevnik; Igor Lashkov (SPECOM, 2016)

Driver Assistant in Automotive Socio-cyberphysical System - Reference Model and Case Study. - Alexander V. Smirnov 001; Alexey M. Kashevnik; Nikolay Shilov 001; Igor Lashkov (VEHITS, 2016)

Context-based driver support system development: Methodology and case study. - Alexey M. Kashevnik; Igor Lashkov; Vladimir Parfenov; Nikolay Mustafin; Olesya Baraniuc (FRUCT, 2017)

Web-Service for Drive Safely System User Analysis: Architecture and Implementation. - Aleksandr Fedotov; Igor Lashkov; Alexey M. Kashevnik (FRUCT, 2018)

Decision Support System for Drivers & Passengers: Smartphone-Based Reference Model and Evaluation. - Alexey M. Kashevnik; Igor Lashkov (FRUCT, 2018)

Ontology-Based Human-Robot Interaction: An Approach and Case Study on Adaptive Remote Control Interface. - Alexey M. Kashevnik; Darya Kalyazina; Vladimir Parfenov; Anton I. Shabaev; Olesya Baraniuc; Igor Lashkov; Maksim V. Khegai (ICR, 2018)

Dangerous Situation Prediction and Driving Statistics Accumulation Using Smartphone. - Alexey M. Kashevnik; Alexander Fedotov; Igor Lashkov (IEEE Conf. on Intelligent Systems, 2018)

Driver Dangerous State Detection Based on OpenCV & Dlib Libraries Using Mobile Video Processing. - Igor Lashkov; Alexey M. Kashevnik; Nikolay Shilov 001; Vladimir Parfenov; Anton I. Shabaev (CSE/EUC, 2019)

Intelligent Driver Decision Support System in Vehicle Cabin: Reference Model for Dangerous Events Recognition and Learning. - Alexey M. Kashevnik; Igor Lashkov (ICCA, 2019)

Smartphone-Based Driver Support in Vehicle Cabin: Human-Computer Interaction Interface. - Alexey M. Kashevnik; Igor Lashkov; Dmitry Ryumin; Alexey Karpov 001 (ICR, 2019)

Smartphone-Based Intelligent Driver Assistant: Context Model and Dangerous State Recognition Scheme. - Igor Lashkov; Alexey M. Kashevnik (IntelliSys (2), 2019)

Driver Intelligent Support System in Internet of Transportation Things: Smartphone-Based Approach. - Alexey M. Kashevnik; Igor Lashkov; Nikolay Teslya (SoSE, 2019)

Seat Belt Fastness Detection Based on Image Analysis from Vehicle In-abin Camera. - Alexey M. Kashevnik; Ammar Ali; Igor Lashkov; Nikolay Shilov 001 (FRUCT, 2020)

Dangerous State Detection in Vehicle Cabin Based on Audiovisual Analysis with Smartphone Sensors. - Igor Lashkov; Alexey M. Kashevnik; Nikolay Shilov 001 (IntelliSys (1), 2020)

Human Psychophysiological Activity Estimation Based on Smartphone Camera and Wearable Electronics. - Alexey M. Kashevnik; Mikhail Kruglov; Igor Lashkov; Nikolay Teslya; Polina Mikhailova; Evgeny Ripachev; Vladislav Malutin; Nikita Saveliev; Igor Ryabchikov (Future Internet, 2020)

Methodology and Mobile Application for Driver Behavior Analysis and Accident Prevention. - Alexey M. Kashevnik; Igor Lashkov; Andrei V. Gurtov (IEEE Trans. Intell. Transp. Syst., 2020)

A Multimodal Approach to Psycho-Emotional State Detection of a Vehicle Driver. - Igor Lashkov; Alexey M. Kashevnik (IntelliSys (2), 2021)

Aggressive Behavior Detection Based on Driver Heart Rate and Hand Movement Data. - Igor Lashkov; Alexey M. Kashevnik (ITSC, 2021)

Multimodal Corpus Design for Audio-Visual Speech Recognition in Vehicle Cabin. - Alexey M. Kashevnik; Igor Lashkov; Alexandr Axyonov; Denis Ivanko; Dmitry Ryumin; Artem Kolchin; Alexey Karpov 001 (IEEE Access, 2021)

MIDriveSafely: Multimodal Interaction for Drive Safely. - Denis Ivanko; Alexey M. Kashevnik; Dmitry Ryumin; Andrey Kitenko; Alexandr Axyonov; Igor Lashkov; Alexey Karpov 001 (ICMI, 2022)

DAVIS: Driver's Audio-Visual Speech recognition. - Denis Ivanko; Dmitry Ryumin; Alexey M. Kashevnik; Alexandr Axyonov; Andrey Kitenko; Igor Lashkov; Alexey Karpov 001 (INTERSPEECH, 2022)

Edge-Computing-Facilitated Nighttime Vehicle Detection Investigations With CLAHE-Enhanced Images. - Igor Lashkov; Runze Yuan; Guohui Zhang 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Edge-Computing-Empowered Vehicle Tracking and Speed Estimation Against Strong Image Vibrations Using Surveillance Monocular Camera. - Igor Lashkov; Runze Yuan; Guohui Zhang 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Computing-efficient video analytics for nighttime traffic sensing. - Igor Lashkov; Runze Yuan; Guohui Zhang 001 (Comput. Aided Civ. Infrastructure Eng., 2024)

Machine learning-based vehicle detection and tracking based on headlight extraction and GMM clustering under low illumination conditions. - Igor Lashkov; Runze Yuan; Guohui Zhang 001 (Expert Syst. Appl., 2025)

Deep learning-based vehicle detection and tracking from roadside LiDAR data through robust affinity fusion. - Shanglian Zhou; Hanyi Yang; Igor Lashkov; Cong Chen; Hao Xu 004; Guohui Zhang 001; Yin Yang 002 (Expert Syst. Appl., 2025)

Optimized Long Short-Term Memory Network for LiDAR-Based Vehicle Trajectory Prediction Through Bayesian Optimization. - Shanglian Zhou; Igor Lashkov; Hao Xu 004; Guohui Zhang 001; Yin Yang 002 (IEEE Trans. Intell. Transp. Syst., 2025)