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Title:

Vehicle Rollover Detection Using Recurrent Neural Networks

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Dengler, C.; Treetipsounthorn, K.; Chantranuwathana, S.; Phanomchoeng, G.; Lohmann, B.; Panngum, S.
Pages contribution:
pp. 59-64
Chapter contribution:
Article number 9095843
Abstract:
Rollover accidents have a higher fatality rate than other types of accidents. Therefore, rollover prevention systems are of great importance for driver safety. The implementation of rollover prevention systems requires an estimation of the rollover risk. To assess that risk, different rollover indices have been introduced. A difficulty is the dependence of these indices on unknown parameters, e.g., center of gravity and current load of the vehicle. One solution is to implement an algorith...     »
Keywords:
Rollover Detection, Rollover Prevention, Neural Network, Recurrent Neural Network
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Editor:
Institute of Electrical and Electronics Engineers Inc.
Book / Congress title:
IEEE International Conference on Cybernetics and Intelligent Systems (CIS)[9th, 2019] and IEEE Conference on Robotics, Automation and Mechatronics (RAM)
Date of congress:
18.-20.11.2019
Date of publication:
19.05.2020
Year:
2020
Quarter:
2. Quartal
Year / month:
2020-05
Month:
May
Covered by:
Scopus
Print-ISBN:
978-1-7281-3459-8
E-ISBN:
978-1-7281-3458-1
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1109/CIS-RAM47153.2019.9095843
WWW:
https://ieeexplore.ieee.org/document/9095843
TUM Institution:
Lehrstuhl für Regelungstechnik
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