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- Title
Comparative Analysis of Classifiers for Classification of Emergency Braking of Road Motor Vehicles.
- Authors
Podusenko, Albert; Nikulin, Vsevolod; Tanev, Ivan; Shimohara, Katsunori
- Abstract
We investigate the feasibility of classifying (inferring) the emergency braking situations in road vehicles from the motion pattern of the accelerator pedal. We trained and compared several classifiers and employed genetic algorithms to tune their associated hyperparameters. Using offline time series data of the dynamics of the accelerator pedal as the test set, the experimental results suggest that the evolved classifiers detect the emergency braking situation with at least 93% accuracy. The best performing classifier could be integrated into the agent that perceives the dynamics of the accelerator pedal in real time and-if emergency braking is detected-acts by applying full brakes well before the driver would have been able to apply them.
- Subjects
MOTOR vehicle brakes; FEASIBILITY studies; GENETIC algorithms; REAL-time control; TIME series analysis
- Publication
Algorithms, 2017, Vol 10, Issue 4, p129
- ISSN
1999-4893
- Publication type
Article
- DOI
10.3390/a10040129