PIPER
Position and Personalise
Advanced Human Body Models for Injury Prediction
In passive safety, advanced Human Body Models (HBM) for injury prediction
based on the Finite Elements method have the potential to represent population
variability and to provide more accurate injury predictions than alternatives
using global injury criteria. However, these advanced HBM are underutilised in
industrial R&D. Reasons include difficulties to position the models – which are
typically only available in one posture – in actual vehicle environments, and the
lack of possibility to represent the population variability (size, weight, etc.).
The main objective of the PIPER project is to develop new “user friendly” tools
to position and personalize these advanced HBM. By facilitating the generation
of population and subject-specific HBM and their usage in production
environments, the tools will enable new applications in industrial R&D for the
design of restraint systems as well as new research applications.
// Project Plan, Milestones and Deliverables
The figure provides a simplified overview of the expected project timeline for the development of the
tools to position and personalise advanced Human Body Models and surrounding applications.
Kick off
meeting
Nov 2013
Specifications for
positioning and
personalising tools
Oct 2014
First versions of tools,
improved child models,
and first applications
Final version with
training material and
applications results
Apr 2015
Safe & Integrated Mobility
// Motivation and Objectives
Apr 2017
// Technical Approach
• Specifications will be agreed upon with future industrial and academic users.
• An extensive evaluation in actual applications with several adult and child models will take place
during the project (WP1). Predictors of posture and shape will be developed (WP2) to help drive the
new personalisation and positioning tools (WP3).
• A modular, human body model neutral framework will be developed to facilitate future evolutions.
It will be made available by using an Open Source exploitation strategy and extensive dissemination
driven by the industrial partners.
• Proven approaches will be combined with innovative solutions transferred from computer graphics,
statistical shape and ergonomics modeling.
// Technical Approach
WP1: A poll of the community on the features desired for the positioning and personalising tool was
developed and currently online. Child model improvements has also been initiated.
WP2: The development of a processing pipeline for the shape analysis based on CT scan data has
started. Available datasets inside and outside the project are also being reviewed.
WP3: Approaches for positioning and personalizing existing at the different partners are being tested
on test cases defined in WP1.
Illustrations of some activities: CT segmentation for shape analysis; ribcage personalization (GHBMC); shoulder positioning and frame definition to support
positioning (child); Work on quality metrics Budget
Duration
DG
Coordinator
Partners
Website
4 M€
Funding
3 M€
42 months
Start
November 2013
Research & Innovation - SST
Contract n°
Philippe Beillas, University Lyon 1
Contact
philippe.beillas@ifsttar.fr
LAB PSA Renault, PDB, CEESAR, INRIA, SOTON, TU Berlin , IIT Delhi, LIP
www.piper-project.eu
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E UROPE AN COUN CIL F OR AU TOM OTI V E R& D