Method and apparatus for learning how to notify pedestrians

A method for optimal notification of a relevant object in a potentially unsafe situation includes training a machine learning model using a plurality of object parameters and a plurality of vehicle state parameters to generate a trained machine learning model. Output data is predicted using the trai...

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Bibliographic Details
Main Authors Wang, Lei, Huber, Marcus J, Zhang, Qinglin, Saez, Miguel A, Maydiga, Sudhakaran
Format Patent
LanguageEnglish
Published 24.12.2020
Subjects
ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING ORSUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES INGENERAL
CALCULATING
COMPUTING
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
COUNTING
HANDLING RECORD CARRIERS
PERFORMING OPERATIONS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
TRANSPORTING
VEHICLES IN GENERAL
VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISEPROVIDED FOR
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Summary:A method for optimal notification of a relevant object in a potentially unsafe situation includes training a machine learning model using a plurality of object parameters and a plurality of vehicle state parameters to generate a trained machine learning model. Output data is predicted using the trained machine learning model. The output data represents an optimal mode of notification and a set of notification parameters for a specific state of interaction between the vehicle and the relevant object.
Bibliography:Application Number: US201916450232