Surrogate measures of safety for single bicycle crashes

Project: Research

Project Details

Description

This project aims to create an advanced cyclist tracking algorithm. Leveraging computer vision techniques and mathematical modelling, an algorithm will be developed for extracting safety-relevant cyclist movement details related to stability from video data.
AcronymSMoS4SBC
StatusActive
Effective start/end date2024/01/01 → 2026/01/01

Collaborative partners

  • Lund University (lead)
  • Swedish National Road and Transport Research Institute

Free keywords

  • Computer Vision
  • Mathematical Modelling
  • Biomechanics
  • Control Theory
  • Dynamics
  • Deep Learning
  • 1 Paper, not in proceeding