METHODS AND APPARATUSES FOR ESTIMATING AN ENVIRONMENTAL CONDITION

The present disclosure relates to an apparatus (100) for estimating a road condition. The apparatus (100) comprises an input interface (110) configured to receive input data (112) derived from one or more sensors, wherein each sensor is configured to measure a physical quantity related to a vehicle...

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Bibliographische Detailangaben
Hauptverfasser:	BONFIGT, Martin, ALBRECHT, Rico, MIZRACHI, Boaz
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES COUNTING PERFORMING OPERATIONS PHYSICS PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OFVEHICLES ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT TRANSPORTING VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	The present disclosure relates to an apparatus (100) for estimating a road condition. The apparatus (100) comprises an input interface (110) configured to receive input data (112) derived from one or more sensors, wherein each sensor is configured to measure a physical quantity related to a vehicle (200) or its environment, wherein the input data (112) features a current driving status of the vehicle, a machine learning processor (120) configured to map the input data (112) to an estimated road condition (122), and a validation processor (130) configured to validate the estimated road condition (122) based on a measurement (132) of the road condition obtained at the current driving status of the vehicle. Validation information from the validation processor (130) can be transmitted to a cloud server (170) for further processing and producing validation swarm knowledge for a whole vehicle fleet.