Abstract: The subject application relates to monitoring of drive by wire sensors in vehicles. Systems, methods and apparatuses of predictive maintenance of drive by wire systems of vehicles are provided. For example, a data storage device is configured in a vehicle to receive and store sensor data from at least one drive by wire system of the vehicle. During a period in which the vehicle is assumed to be operating normally, the sensor data stored in the data storage device is used to train an artificial neural network to recognize the normal patterns in the sensor data. Subsequently, using the trained artificial neural network, the data storage device determines whether operations of the at least one drive by wire system are abnormal based on the sensor data. A maintenance alert can be generated for the vehicle in response to a determination that the operations of the at least one drive by wire system are abnormal according to the artificial neural network.

Abstract: A method is provided for operating a system consisting of an agricultural working vehicle, at least one working tool arranged thereon, and a controller assigned to the working vehicle. The method includes detecting, by at least one sensor assembly arranged at least on the working tool and having at least two sensors, two different physical variables. The method further includes storing, by a memory, information characterizing the working tool, continuously storing, by the memory, operating data of at least the working tool, and communicating wirelessly via Bluetooth network with the controller by the at least one sensor assembly via a transmitter. The controller is brought into a transmission range of the sensor assembly to activate the communication between them and the operating data temporarily stored in the memory is transmitted to the controller.

Abstract: A vehicle includes a common pedal that receives an acceleration operation and a deceleration operation in accordance with a depression amount, a deceleration deriving unit that derives a deceleration of the vehicle based on the deceleration operation of the common pedal, a first distance deriving unit that derives a predicted stopping distance that is a distance between a current position of the vehicle and a predicted stop position at which the vehicle is predicted to stop when travelling at the derived deceleration, a second distance deriving unit that derives a target stopping distance that is a distance between the current position of the vehicle and a target stop position at which the vehicle is to stop, and a deceleration correcting unit that corrects the deceleration of the vehicle based on the predicted stopping distance and the target stopping distance.

Abstract: Method and apparatus for presenting information associated with a multi-segment header of an agricultural harvester. The operational states of the segments are monitored and used to present information. Examples of presented information include graphics depicting which segments are operational and which segments are non-operational, crop coverage maps, and crop yield maps.

Abstract: A mobile work machine includes a frame; ground engaging elements movably supported by the frame and driven by a power source to drive movement of the machine; a moveable element movably supported by the frame to move relative to the frame; an actuator coupled to the moveable element to controllably drive movement of the moveable element; a control system that generates an actuator control signal, indicative of a commanded movement of the actuator, and provides the actuator control signal to the actuator to control the actuator to perform the commanded movement; a terrain identifier configured to identify a characteristic of terrain in a geographic area around the machine; and a stability system that determines whether the commanded movement will result in an unstable state of the machine based on the characteristic of the terrain and, if so, generates a restriction signal, restricting the commanded movement to avoid the unstable state.

Abstract: A vehicle takes and evaluates an image of the surroundings of the vehicle. If the result of the evaluation is that the image possibly contains a static object that could be suitable as a landmark, then the image and a position of the vehicle ascertained by the vehicle at the location at which the image is taken are transmitted to a data processing station. Image analysis of the received image allows the data processing station to establish whether the supposedly static object is suitable as a landmark. When the object has been verified as a landmark, the data processing station creates a data record describing the object, which data record is transmitted to the vehicle.

Abstract: A system, comprising a computer having a processor and a memory storing instructions executable by the processor to identify a height of a curb that is at least one of within or bordering a parking area having a specified length and width. The instructions include instructions to identify a location of the curb. The instructions include instructions to determine a parking position within the parking area based on the height of the curb and the location of the curb. The instructions include instructions to park a vehicle at the parking position within the parking area.

Abstract: A work machine includes systems and methods for stability control based on operating values. The work machine includes a control system having a sensor system with a load sensor, an arm position sensor, and an articulation angle sensor. A controller is in communication with the sensor system. The controller is configured to receive a movement command and to receive a set of values from the sensor system. The controller is configured to determine an operational window for normal operation of the work vehicle based on the received set of values, determine a movement limit based on the received set of values, and limit movement of a component beyond the movement limit.

Abstract: The present disclosure relates to a method for determining an action for collision avoidance in a craft.

Abstract: A system and method for vehicle wheel detection is disclosed. A particular embodiment can be configured to: receive training image data from a training image data collection system; obtain ground truth data corresponding to the training image data; perform a training phase to train one or more classifiers for processing images of the training image data to detect vehicle wheel objects in the images of the training image data; receive operational image data from an image data collection system associated with an autonomous vehicle; and perform an operational phase including applying the trained one or more classifiers to extract vehicle wheel objects from the operational image data and produce vehicle wheel object data.

Abstract: A transport robot may include a wheel driver, a power supply, and a processor. The transport robot may execute artificial intelligence (AI) algorithms and/or machine learning algorithms, and may communicate with other electronic devices in a 5G communication environment. Thus, user convenience can be improved.

Abstract: An agricultural work system for optimizing agricultural work flows has at least one agricultural work unit and a plurality of functional units, each having a control device for controlling the respective functional unit based on a stored set of rules. The agricultural work system has a central pattern recognition system which stores at least one agricultural work situation as a situation pattern. Work situation-specific information is transferrable to the pattern recognition system which identifies a stored work situation and the associated situation pattern based on the obtained information and transmits meta-information (M) characterizing the identified work situation to the functional units. The pattern recognition system and/or the control devices coordinate the cooperation of those functional units which work together in the identified work situation based on the meta-information so that the control devices carry out corresponding parameter adjustments of the associated functional unit.

Abstract: Disclosed is a processing device that is mounted in a vehicle and is able to perform communication with a center server during a normal time. The processing device includes a controller configured to execute searching for one or a plurality of other vehicles with which a host vehicle is able to perform communication, in emergency where a situation of emergency occurs and communication with the center server is disrupted, inquiring the other vehicles searched by the search about whether or not to enable intervention control related to the situation, and deciding a center vehicle giving an instruction related to the intervention control from among the other vehicles replying to enable the intervention control and the host vehicle.

Abstract: The present invention refers to a method for autonomously parking a current vehicle (40) along a trained trajectory (18), comprising the steps of driving a training vehicle (12) along the trajectory (18) and determining environment information along the trajectory (18), determining trajectory information based on the environment information for parking the current vehicle (40) along the trajectory (18), storing the trajectory information from the training vehicle (12) in a personal storage (34) associated to a driver, transferring the trajectory information from the personal storage (34) to the current vehicle (40), and parking the current vehicle (40) along the trained trajectory (18).

Abstract: A ground collision avoidance method in an ownship vehicle is disclosed. The method includes: retrieving position measurements for the ownship vehicle and for a dynamic obstacle; retrieving mapping data from an airport map database that includes coordinate data for airport travel pathways; adjusting a position measurement for the ownship vehicle and a position measurement for the dynamic obstacle based on coordinate data retrieved from the airport map database and historical aircraft movement data; predicting a series of future positions for the ownship vehicle that are constrained by airport surface operation rules; predicting a series of future positions for the dynamic obstacle that are constrained by airport surface operation rules; calculating whether a potential collision is imminent; and causing a collision alert to be displayed when the processor has determined that a potential collision between the ownship vehicle and the dynamic obstacle is imminent.

Abstract: A vehicle operation system includes an operation unit disposed within a vehicle and including an operating element configured to receive an operation of an occupant of the vehicle, a determiner configured to determine a target-specific device serving as an operation target from among a plurality of specific devices on the basis of an operation different from a mechanical operation performed on the operating element by the occupant of the vehicle, and a device controller configured to control the target-specific device on the basis of the mechanical operation performed on the operating element by the occupant of the vehicle.

Abstract: A vehicle control system determines an upper non-zero limit on deceleration of a vehicle to prevent rollback of the vehicle down a grade being traveled up on by the vehicle. The upper non-zero limit on deceleration is determined by the controller based on a payload carried by the vehicle, a speed of the vehicle, and a grade of a route being traveled upon by the vehicle. The controller is configured to monitor the deceleration of the vehicle, and to automatically prevent the deceleration of the vehicle from exceeding the upper non-zero limit by controlling one or more of a brake or a motor of the vehicle. The controller also is configured to one or more of actuate the brake or supply current to the motor of the vehicle to prevent rollback of the vehicle while the vehicle is moving up the grade at a non-zero speed.

Abstract: A vehicle control apparatus, configured to control a vehicle, includes an engine that is configured to drive wheels via a power transmission device. The vehicle control apparatus includes a towing state detector and an engine controller. The towing state detector is configured to detect whether the vehicle is in a towing state. The engine controller is configured to stop the engine in a case where a predetermined engine stopping condition is satisfied during traveling of the vehicle. The engine controller is configured to vary, in a case where the towing state detector detects that the vehicle is in the towing state, the predetermined engine stopping condition to reduce an operational range in which the engine is to be stopped compared with an operational range in a case where the towing state detector does not detect that the vehicle is in the towing state.

Abstract: Systems and methods for multi-signal fault analysis are described. The system receives signal message information, over a network, from a collection device comprised of a plurality of mobile devices including a first mobile device and a second mobile device that are associated with a first user. The first signal message information includes a first maintenance message including characterization information that was received by the first mobile device from a component that includes a sensor that operates to sense a first part that is assembled into a vehicle. The second signal message information includes signal information that was received by the second mobile device including an audio signal that a microphone in the second mobile device sensed. The system analyzes the multi-signal information to diagnose a problem and communicate a message to the first user with a diagnosis of the problem.

Abstract: A shovel according to embodiments of the present invention includes: a lower traveling body; an upper swivel body that is rotatably mounted on the lower traveling body; an attachment that is configured by a boom, an arm, and an end attachment; an engine that is mounted on the upper swivel body; a motor generator that is able to assist the engine; a power storage system that is mounted on the upper swivel body; a swiveling motor that is driven by electric power from the motor generator and the power storage system; temperature detection units; and a control device. The control device switches a control mode in a case where at least one of a temperature relating to the motor generator, a temperature relating to the power storage system, and a temperature relating to the swiveling motor, detected by the temperature detection units, is higher than a predetermined temperature.