Igor Lashkov

I'm a Postdoctoral Scholar at the University of Hawaiʻi at Mānoa. I did my PhD at St. Petersburg Federal Research Center of the RAS.

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Research

My research interests include computer vision, deep learning, advanced driver assistance systems, intelligent transportation systems, and connected vehicle applications. Some papers are highlighted.

A context-based prompt-guided training-free VLM framework for efficient video inference in a fast-motion traffic scene environment.

A systematic approach for LiDAR-based vehicle trajectory prediction, leveraging LSTM networks to predict vehicle trajectories and employing Bayesian optimization to automatically search for optimal hyperparameter values related to both the training scheme and LSTM architectures.

An effective approach to traffic flow monitoring under daytime conditions by applying machine learning and computer vision techniques to extract motion traffic data parameters from the videos captured by the static surveillance camera installed and fixed at the intersection.

A novel CLAHE-based nighttime image contrast enhancement approach for vehicle detection under nighttime conditions, which improves the contrast of low-quality nighttime images while preventing over-enhancement by employing the image dehazing technique.

Miscellanea

Thanks for the template.