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Author/Affiliation: Thanisorn SriudompornVehicle Rollover Detection in Tripped and Untripped Rollovers using Recurrent Neural Networks
by Kailerk Treetipsounthorn, Thanisorn Sriudomporn, Gridsada Phanomchoeng, Christian Dengler, Setha Panngum, Sunhapos Chantranuwathana and Ali Zemouche
Advances in Science, Technology and Engineering Systems Journal,
Volume 5,
Issue 6,
Page # 228–238,
2020;
DOI: 10.25046/aj050627
Abstract:
Comparing to other types of vehicle accidents, fatality rate of tipped rollover accidents shows significant number. Thus, tripped rollover prevention systems are important in order to keep driver safe. In other hands, different rollover indices are defined to handle the risk. The variable unknown parameters of each index, for instance, current load of the vehicle…
Read More(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Automation & Control Systems (ACS))
