Moving towards autonomous driving there is a need for tools that can support the development of the autonomous vehicle braking and avoidance systems by comparing the outcome of crashes (when a crash is unavoidable) at various crash directions and severity levels. Crash test dummies are only biofidelic in specific impact directions such as pure frontal or pure lateral impacts. Therefore there is a need for a tool that can predict injuries in all loading directions (frontal to side) at various severities. Human Body Models (HBM) have the potential to predict injuries to vehicle occupants in all crashes that occur in the real world.
The current project is addressing important injuries to three body parts of vehicle occupants in crashes, both when considering serious injuries as well as injuries leading to long term disability. These are thorax injuries (rib fractures), thoraco-lumbar spine injuries and head injuries. A biofidelic human body model capable of predicting these injuries will be used by the industrial partners Volvo Cars and Autoliv to develop pre-crash triggered restraint system and also for the development of the autonomous braking and avoidance systems as such.
The partner responsible for the application is Autoliv. Partners are Volvo Cars, Chalmers University, Umeå University and Gothenburg University (Sahlgren Hospital).
Docent vid Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet, Personskadeprevention
Biträdande professor vid Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet, Personskadeprevention
Forskare vid Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet, Personskadeprevention
Professor vid Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet, Personskadeprevention
Finansierar Chalmers deltagande under 2016–2018