Methods for fusing uncertain results obtained from different models in accident reconstruction
| Autor: | Fenglin He, Tiefang Zou |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
accident reconstruction
monte carlo method Fuse (automotive) Computer science forensic sciences lcsh:Public aspects of medicine Monte Carlo method ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Probabilistic logic lcsh:RA1-1270 fusing computer.software_genre Biochemistry Genetics and Molecular Biology (miscellaneous) Pathology and Forensic Medicine Analytical Chemistry different uncertain results Psychiatry and Mental health Accident (fallacy) Anthropology lcsh:Criminal law and procedure Data mining sub-interval technique lcsh:K5000-5582 Physical and Theoretical Chemistry computer |
| Zdroj: | Forensic Sciences Research, Vol 0, Iss 0, Pp 1-7 (2020) |
| ISSN: | 2471-1411 2096-1790 |
| Popis: | Considering that almost all existing solutions of fusing different reconstructed results require experts’ opinions and the issue of how to fuse probabilistic results and mixed results has not been discussed. Two solutions are proposed. The first is based on the Monte Carlo Method (FMCM), while the second is based on the Sub-Interval Technique (FSIT). The method based on FMCM generates sample points according to the distribution of each uncertain result firstly, and then gives out the cumulative distribution function of the final fused result by statistical analysis. The method based on FSIT gets the result fusion interval set according to lower and upper bounds of all interval results and a given length d of each sub-interval firstly, and then calculate the weighted matrix of the result fusion interval. As a result, the cumulative distribution function of the final fused result can also be given out by statistical analysis. Finally, three real accidents are given to demonstrate the methods of FMCM and FSIT, the results of which show that both work well in practice. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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