Patent US 11,619,509

Patent №

US 11,619,509

Granted

Owner

Lab

AI components

2

ml · nlp

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

17029199

Reckless behavior of drivers like, speeding, sudden acceleration and swerving through lanes can cause fatality and financial loss. Conventional methods mainly focus on driving style classification. The conventional methods mainly focus on driver classification and are not able to provide trip classification of a driver. Hence there is a challenge in trip classification of the driver based on acceleration data. The present disclosure for trip classification addresses the problem of end to end trip classification based on the acceleration data. Here, a journey is segmented into a plurality of sub-journey segments and each sub-journey segment is associated with a plurality of driving events. An event score is calculated for each sub-journey and a normalization is performed on the event score. Further, the journey is classified into at least one of good, average or bad based on the normalized data by utilizing a fuzzy based classification.

Machine learningNatural languageG01C 21/3492G06Q 10/00G01C 21/3691G01C 21/3807G01S 19/42G06Q 10/04G06Q 10/0635G06Q 50/40+3 more

AI classification

Machine learning1.00
Natural language0.98
Planning0.27
AI hardware0.15
Vision0.07
Knowledge representation0.06
Speech0.00
Evolutionary computation0.00
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