System and method for road friction coefficient estimation

Aspects of the present disclosure involve systems and methods for obtaining real-time road friction coefficient estimations. In one embodiment, a regression function is learned using a training data set which correlates input data measurements arriving from onboard system sensors and coefficient est...

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Bibliographische Detailangaben
Hauptverfasser:	Garg, Kshitiz, Aikin, Randol, Seo, YoungWoo
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES CONTROLLING COUNTING ELECTRIC DIGITAL DATA PROCESSING PERFORMING OPERATIONS PHYSICS REGULATING ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES TRANSPORTING VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	Aspects of the present disclosure involve systems and methods for obtaining real-time road friction coefficient estimations. In one embodiment, a regression function is learned using a training data set which correlates input data measurements arriving from onboard system sensors and coefficient estimations arriving from an extension system. In another embodiment, the learned regression function can be retrieved to obtain real-time road friction coefficient estimations while the system is in motion.