Automated Quantification of Occupant Posture and Shoulder Belt Fit Using Safety Specific Key Points

Automated Quantification of Occupant Posture and Shoulder Belt Fit Using Safety Specific Key Points

Virtual evaluation of automotive safety with variation in occupant posture and shoulder belt fit is gaining importance, and there is a need of methods facilitating analysis of occupant postures in driving studies. This study is aimed to develop an AI-based computer vision method to automatically qua...

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Bibliographic Details
Main Authors: Franz Hartleitner, A. Koppisetty, K. Bohman
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Computer vision
neural networks
seating postures
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9672166/

Internet

https://ieeexplore.ieee.org/document/9672166/

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