Deere + Company

Marquardt Gmbh

Keith N Chaston

Michael G Kean

Mark John Cherney

Sean Patrick West

John M Hageman

Scott Svend Hendron

Francois Stander

Reginald M Bindl

Joshua C Heitsman

Douglas K Wink

Lance Robert Sherlock

Nathan Joseph Horstman

Todd F Velde

Joshua D Hoffman

Brett S Graham

Craig Christofferson

David A Veasy

Christopher H Berry

Brent Allen Smith

Amy K Jones

Donald Orville Johannsen

Sean Mairet

Stephen McMahon

Bruce L Upchurch

Robert A Hamilton

Madeline T Oglesby

Keith J Lensing

Drew F Harwell

Joseph F Lingle

Eric S Crawford

Donald O Johannesen

Jospeh F Lingle

A method and a system for avoiding collision of an object with a work tool coupled to a work machine. The method comprising generating an object signal by an object detector, monitoring the object signal in real-time by a processor, processing the object signal to detect an object at least partially buried in the ground surface, determining a distance between the object and a distance threshold, and sending by a controller a control signal to one or more of a machine control system and a work tool control system to modify one or more of a movement of the work tool or the work machine based on the object reaching the distance threshold.

Work tool collision avoidance method and system for a work machine

Systems and methods are described for identifying a behavior of a machine. A computer system receives a signal indicative of operation of a field machine and applies a deep learning algorithm to identify a pattern in a collection of signals stored on a computer-readable memory. The collection of signals includes the received signal indicative of operation of the field machine and other signals. A series of targeted tests are performed using a test machine while monitoring a signal indicative of operation of the test machine. A behavior is identified during the series of targeted tests that produces a signal that matches the pattern identified by the deep learning algorithm. An occurrence of the behavior is then automatically identified in the field machine in response to detecting the pattern in the received signal indicative of operation of the field machine.

Targeted testing and machine-learning systems for detecting and identifying machine behavior

A pattern recognition system receives an image captured by an image capture device, of an operator and the operator is identified. Operator information is accessed, based upon the identified operator, and a control signal is generated to control a mobile machine, based upon the operator information.

Machine control using biometric recognition

A communication element, comprising a communication element transceiver, a sensor (configured to detect jerking motion), and an electronic storage device, the communication element configured to: [A] repeat a sequence comprising a broadcast mode in which is sends broadcast signals followed by a sleep mode in which it does not send any broadcast signal, [B] discontinue the sequence and enter a communication mode (in which stored information regarding an asset, e.g., a heavy-duty attachment, is transmitted to a controller, e.g., in a heavy-duty vehicle, upon request) upon receiving (during the broadcast mode or within a set time span after detecting a jerking motion). Also, communication systems comprising one or more such communication elements and one or more controllers, and methods of broadcasting and, upon specific conditions being met, communicating. Also, an element for cumulatively tracking time that an element has been in use.

Communication elements, communication systems, time-of-use tracking elements, methods of communicating, and methods of controlling communication of information regarding assets

A smart attachment, or more particularly a wireless beacon for coupling with at least one of an attachment and a work vehicle that operates in rugged environments. The beacon comprises a cylindrical housing with a proximal surface and a distal surface coupled with a fastener. This beacon may further comprise a power source, a printed circuit board, an antenna, and an accelerometer, all located within the cylindrical housing.

Smart attachment for a work vehicle

A mobile construction machine detects a speech processing trigger. It then performs speech processing (such as speech recognition and natural language understanding, speech synthesis, etc.) based on the detected speech processing trigger, to generate a speech processing result. A control signal generator generates control signals based on the speech processing result. The control signals can be used to control the mobile construction machine, to control another mobile construction machine, to provide information to a remote server location, or to aggregate information from multiple remote server locations.

Construction machine mode switching with voice services

Construction machines with voice services

A remote start system for a work vehicle includes a communication unit configured to receive a remote start input signal; optical sensors providing a first image of the work vehicle or work vehicle environment; and a controller including at least a start module and a verification module. The start module is configured to generate a verification request in response to the remote start input signal. In response to the verification request, the verification module is configured to confirm that the first image satisfies a verification condition and to generate a verification confirmation when the first image satisfies the verification condition. The start module is configured to generate a start command in response to the verification confirmation. The remote start system further includes a starter device coupled to the controller and configured to energize a prime mover of the work vehicle upon receipt of the start command from the controller.

Work vehicle start system and method with optical verification for authorizing remote start

An idle state determination system and method are disclosed for a work vehicle having an engine and at least one movable work implement. The movable work implement includes a load bin. The idle state determination system includes a source of work vehicle data that indicates one or more operational parameters of the work vehicle, including at least a speed, a state of an engine and a position of the load bin. The idle state determination system including a source of idle state classifications that include a plurality of idle states associated with the work vehicle, and the plurality of idle states including at least a waiting idle state and a loading idle state. The idle state determination system includes a controller that processes the work vehicle data to determine an idle state of the work vehicle. The controller classifies the idle state as one of the plurality of idle states.

System and method for idle state determination

A coordinated control method and system for a work vehicle having a primary implement and a secondary implement and one or more controllers. The controller(s) receive a primary implement position input, which is used to generate a primary implement control command to drive one or more primary actuators to position the primary implement. The controller(s) generate a secondary implement control command that is coordinated with the primary implement position input to drive one or more secondary actuators to position the secondary implement in a relative orientation with respect to an orientation of the primary implement resulting from the primary implement control command.

Coordinated implement control for work vehicle

An operator identification control system and method are disclosed for a work vehicle having a cab, a work tool and a source of propulsion. The operator identification control system includes a source associated with the operator that actively transmits an operator identification to identify the operator. The operator identification control system also includes at least one controller onboard the work vehicle that receives and processes the operator identification to determine whether the operator is associated with the work vehicle, and based on the determination, enables an operation of the work tool and/or a motion of the work vehicle by the operator.

System and method for work vehicle operator identification

The present disclosure relates to a detection system for detecting a liquid level in a rotating driveline component. The detection system may include a first sensor for detecting the liquid, a second sensor for detecting a rotational position of the driveline component, and a receiver for determining the liquid level based on the first and second sensors.

Liquid level detection system for a driveline component

Growing community of inventors

Dubuque, IA, United States of America

Keith N Chaston