Approach for machine learning based design of experiments for occupant simulation
暂无分享,去创建一个
[1] M. Östling,et al. Generic Crash Pulses Representing Future Accident Scenarios of Highly Automated Vehicles , 2022, SAE International Journal of Transportation Safety.
[2] Jonas Kneifl,et al. Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme , 2021, IFAC-PapersOnLine.
[3] Hamed Joodaki,et al. Is optimized restraint system for an occupant with obesity different than that for a normal BMI occupant? , 2021, Traffic injury prevention.
[4] N. Lubbe,et al. Rib Cortical Bone Fracture Risk as a Function of Age and Rib Strain: Updated Injury Prediction Using Finite Element Human Body Models , 2021, Frontiers in Bioengineering and Biotechnology.
[5] Bronislaw Gepner,et al. Leveraging machine learning for predicting human body model response in restraint design simulations , 2020, Computer methods in biomechanics and biomedical engineering.
[6] V. Roshan Joseph,et al. Designing computer experiments with multiple types of factors: The MaxPro approach , 2020, Journal of Quality Technology.
[7] Li Shengbo,et al. A framework for rapid on-board deterministic estimation of occupant injury risk in motor vehicle crashes with quantitative uncertainty evaluation , 2020, Science China Technological Sciences.
[8] Matthew B. Panzer,et al. Occupant Safety in Vehicles Equipped With Automated Driving Systems, Part 3: Biofidelity Evaluation of GHBMC M50-OS Against Laboratory Sled Tests , 2020 .
[9] Jeffrey Richard Crandall,et al. Methodology for vehicle safety development and assessment accounting for occupant response variability to human and non-human factors , 2020, Computer methods in biomechanics and biomedical engineering.
[10] J. Watt,et al. Machine Learning Refined , 2020 .
[11] Corina Klug,et al. Postprocessing of Human Body Model Results – Introduction of the Open Source Tool DYNASAUR , 2018 .
[12] Nianfei Gan,et al. Hybrid meta-model-based design space exploration method for expensive problems , 2018, Structural and Multidisciplinary Optimization.
[13] Harry Singh,et al. Vehicle Interior and Restraints Modeling Development of Full Vehicle FiniteElement Model Including Vehicle Interior and Occupant Restraints Systemsfor Occupant Safety Analysis Using THOR Dummies , 2018 .
[14] Liang Xia,et al. A system methodology for optimization design of the structural crashworthiness of a vehicle subjected to a high-speed frontal crash , 2017 .
[15] Jianguang Fang,et al. On design optimization for structural crashworthiness and its state of the art , 2017 .
[16] Jeremy Watt,et al. Machine Learning Refined: Foundations, Algorithms, and Applications , 2016 .
[17] Costin D. Untaroiu,et al. Performance-Based Classification of Occupant Posture to Reduce the Risk of Injury in a Collision , 2013, IEEE Transactions on Intelligent Transportation Systems.
[18] Thomas J. Santner,et al. Noncollapsing Space-Filling Designs for Bounded Nonrectangular Regions , 2012, Technometrics.
[19] Luc Pronzato,et al. Design of computer experiments: space filling and beyond , 2011, Statistics and Computing.
[20] Costin D. Untaroiu,et al. Identification of occupant posture using a Bayesian classification methodology to reduce the risk of injury in a collision , 2011 .
[21] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[22] Sudhanshu K. Mishra,et al. Some New Test Functions for Global Optimization and Performance of Repulsive Particle Swarm Method , 2006 .
[23] L. Breiman. Random Forests , 2001, Encyclopedia of Machine Learning and Data Mining.
[24] Tim Oates,et al. Efficient progressive sampling , 1999, KDD '99.
[25] Lotta Jakobsson,et al. Integrated safety: establishing links for a comprehensive virtual tool chain , 2019 .
[26] Tanja Hueber,et al. Gaussian Processes For Machine Learning , 2016 .
[27] Krystoffer Mroz,et al. Predicting rib fracture risk with whole-body finite element models: development and preliminary evaluation of a probabilistic analytical framework. , 2012, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.
[28] Dirk Gorissen,et al. Space-filling sequential design strategies for adaptive surrogate modelling , 2009, SOCO 2009.