Vehicle sink alert system and method

A vehicle sink alert method and system that includes collecting image data, determining field conditions, calculating wheel sink depth, predicting vehicle sink events using wheel sink depth and field conditions, and activating an alert when a vehicle sink event is predicted. The method can include p...

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Bibliographische Detailangaben
Hauptverfasser:	Balani, Kirti, Rane, Vishal, Krishnakumar, Shibinkumar
Format:	Patent
Sprache:	eng
Schlagworte:	AGRICULTURE ANIMAL HUSBANDRY CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES DEVICES OR ARRANGEMENTS RELATED TO TYRES FISHING FORESTRY GYROSCOPIC INSTRUMENTS HUMAN NECESSITIES HUNTING MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES ORIMPLEMENTS, IN GENERAL PERFORMING OPERATIONS PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS REPAIRING, OR CONNECTING VALVES TO, INFLATABLE ELASTIC BODIESIN GENERAL SOIL WORKING IN AGRICULTURE OR FORESTRY SURVEYING SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TESTING TRANSPORTING TRAPPING TYRE CHANGING OR REPAIRING TYRE INFLATION VEHICLE TYRES VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	A vehicle sink alert method and system that includes collecting image data, determining field conditions, calculating wheel sink depth, predicting vehicle sink events using wheel sink depth and field conditions, and activating an alert when a vehicle sink event is predicted. The method can include predicting vehicle sink events using GPS coordinates and historical vehicle sink data. The method can include determining and using vehicle motion to predict vehicle sink events. Predicting vehicle sink events can include forming a multi-dimensional model with positive sink points where vehicle sink events have occurred and negative sink points where vehicle sink events have not occurred; generating a current vehicle point using monitored and calculated data; determining whether the current vehicle point is within a positive sink region formed by the positive sink points; and predicting a vehicle sink event if the current vehicle point is within the positive sink region.