Statistical Analisys and identification techniques of Baja Pilots
System Identification, Data Statistical Analysis, Baja SAE, Artificial Neural Networks.
Immersing in the motorsports context, the system identification becomes a great ally to the racing team efficiency by extracting important features from car/driver system and providing feedbacks for a better performance. From that principle, this work aims to identify drivers of an off-road Baja SAE vehicle. Through the partnership with the Car-Kará Baja SAE UFRN team, four different drivers have been selected in 7 different test tracks. The data has been collected, through an industrial data logger, and analyzed in an offline manner. From the data collection, it has been done a division of the variable vector in 3 and 5 sections and then it has been computed the statistical analysis for each part, creating the feature vectors. That vector was inserted in an artificial neural architecture with two hidden layer, obtaining a success rate of 97% for the division in 3 parts and 93% for 5 parts.