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VR Human-Centric Winter Lane Detection: Performance and Driving Experience Evaluation.

Tatiana Ortegon-Sarmiento1,2, Patricia Paderewski2, Sousso Kelouwani1

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Summary
This summary is machine-generated.

This study introduces a virtual reality simulation to test lane detection systems in snow. The system significantly reduced lane departures and improved driver experience and safety in simulated winter conditions.

Keywords:
advanced driver assistance systemsautonomous drivinghuman–robot interactionlane detectionsituational awarenessvirtual reality simulationwinter weather

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Area of Science:

  • Computer Vision
  • Human-Computer Interaction
  • Automotive Safety

Background:

  • Snowfall and ice obscure road markings, challenging human drivers and autonomous systems.
  • Existing lane detection systems struggle with winter visual disturbances like snow and ice.
  • On-road testing of driver assistance systems in snow poses safety and ethical risks.

Purpose of the Study:

  • To evaluate winter lane detection systems using a human-in-the-loop virtual reality simulation.
  • To assess the impact of lane detection on driver performance and user experience in simulated snowy conditions.

Main Methods:

  • Developed a low-cost virtual reality simulation for controlled winter driving scenarios.
  • Recruited participants to drive in simulated snow with and without a lane detection system.
  • Monitored quantitative (lane departures) and qualitative (user experience surveys) data.

Main Results:

  • A 49.9% reduction in unintentional lane departures was observed when using the lane detection system.
  • Participants reported significantly improved user experience (UEQ-S, p=0.023, Cohen's d=0.72).
  • Increased perceived safety, situational awareness, and confidence were reported by participants.

Conclusions:

  • Vision-based lane detection systems adapted for winter conditions show significant potential.
  • Immersive virtual reality simulations offer a safe and effective platform for user-centered testing of advanced driver-assistance systems (ADAS).
  • The VR simulation provides valuable insights into the performance and usability of ADAS in challenging winter environments.