Crash Scene Re-Generation Using Structural Hidden Markov Models Professor Djamel Bouchaffra (Advisor) Raef Aidibi (Ph.D. Student) Computer Science & Engineering 131 Dodge Hall Phone: ,

The National Transportation Safety Board has recommended that Automobile Manufacturers and the National Highway Traffic Safety Administration work cooperatively to gather information on automotive crashes, using collision sensing and recording devices. [National Transportation Safety Board Symposium On Recorders]

6 – References 1.D. Bouchaffra and J. Tan, "Structural Hidden Markov Models using a Relation of Equivalence: Application to Automotive Designs", in Data Mining and Knowledge Discovery Journal, Springer-V, D. Bouchaffra and J. Tan, "Introduction to Structural Hidden Markov Models: Application to Handwritten Numeral Recognition", Intelligent Data Analysis Journal, IDA, Editor-in-Chief: A. Famili, Vol., 10:1, IOS Press, D. Bouchaffra and J. Tan, "Structural Hidden Markov Model and Its Application in Automotive Industry", Enterprise Information Systems V, Camp, O.; Filipe, J.B.; Hammoudi, S.; Piattini, M.G. (Eds.), XIV, 332 p., Hardcover, ISBN: X, Published by Springer, Djamel Bouchaffra and Jun Tan, "Introduction to Structural HMM and it's Application in Pattern Classification", ANNIE'2004, Smart Engineering System Design-Neural Network, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Nov. 7-10, 2004, University of Missouri- Rolla. 5.Djamel Bouchaffra and Jun Tan, "Introduction to the Concept of Structural HMM: Application to Mining Customers' Preferences for Automotive Designs", The 17th International Conference on Pattern Recognition (ICPR) Cambridge, United Kingdom, August, 2004 (Proceedings Published by IEEE Computer Society). 6.Raef Aidibi, "Introduction to Hidden Markov Models Decision Processes (HMMDP)", International Computer System and Information Technology, ICSIT'05 (IEEE/ CDTA) July 19-22, 2005 Algiers