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Journal Articles
- 2019
[j1]Andrei Aksjonov
, Pavel Nedoma, Valery Vodovozov, Eduard Petlenkov, Martin Herrmann:
Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic. IEEE Trans. Intell. Transp. Syst. 20(6): 2048-2059 (2019)
Conference and Workshop Papers
- 2019
- [c6]Andrei Aksjonov, Pavel Nedoma, Valery Vodovozov, Zoja Raud, Eduard Petlenkov:
Speed Control of Electric Vehicle Propulsion with Autotuning at Changeable Driving Modes and Road Conditions. ICM 2019: 584-589 - 2018
- [c5]Andrei Aksjonov, Pavel Nedoma, Valery Vodovozov, Eduard Petlenkov:
In-vehicle information system as a driver's secondary activity: Case study. AMC 2018: 523-528 - [c4]Andrei Aksjonov, Pavel Nedoma, Valery Vodovozov, Eduard Petlenkov:
A Method for Detection and Evaluation of Driver Distraction Induced by In-Vehicle Information Systems. IECON 2018: 4513-4518 - [c3]Andrei Aksjonov, Pavel Nedoma, Valery Vodovozov, Eduard Petlenkov:
An Enhancement of the Driver Distraction Detection and Evaluation Method Based on Computational Intelligence Algorithms. INDIN 2018: 201-206 - 2017
- [c2]Andrei Aksjonov, Pavel Nedoma, Valery Vodovozov, Eduard Petlenkov, Martin Herrmann:
A method of driver distraction evaluation using fuzzy logic: Phone usage as a driver's secondary activity: Case study. ICAT 2017: 1-6 - 2013
- [c1]Dzmitry Savitski, Pavel Nedoma, Jaroslav Machan, Jiri Plihal, Valentin G. Ivanov, Klaus Augsburg:
Cost functions for assessment of vehicle dynamics. CIES 2013: 48-55
Coauthor Index
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