Irina Reshodko — accepted AI-conference papers

2024

A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level

J. Fredrik R. Bjørnland, Yrjar Gedde, Johannes Rehm, Irina Reshodko, Odd Erik Gundersen

AAAI 2024technical

Currently, students acquire driving skills by practicing in actual traffic conditions and through direct interactions with an instructor. While one-on-one interactions could be tailored to a student’s learning style and skill level, making them effective for learning, one-on-one interactions are als…

Cited by 1 Source ↗PDF ↗Scholar ↗

2024

The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education

Johannes Rehm, Irina Reshodko, Stian Zimmermann Børresen, Odd Erik Gundersen

AAAI 2024technical

This paper introduces the design, development, and deployment of a Virtual Driving Instructor (VDI) for enhanced driver education. The VDI provides personalized, real-time feedback to students in a driving simulator, addressing some of the limitations of traditional driver instruction. Employing a…

Cited by 5 Source ↗PDF ↗Scholar ↗