Abstract: A crane risk logic apparatus and system and method for use of the same are disclosed. In one embodiment of the crane risk logic apparatus, the crane risk logic apparatus is integral with a crane, such as a crawler crane or a tower crane, and located in communication with a load moment indicator. The crane risk logic apparatus receives crane data from the load moment indicator and determines lift cycle data therefrom. The crane risk logic apparatus determines an area of interest based on locationing data received from a global positioning system (GPS) unit incorporated therewith and receives weather data for this area of interest. The crane risk logic apparatus causes an alert notification at the crane to occur in response to presence of weather issues.

Abstract: A self-propelled floor processing device has a drive unit for moving the floor processing device within an environment, a communication interface for outputting information to a user of the floor processing device, an obstacle detection unit for detecting obstacles within the environment and a computing device, which is set up to generate an area map based upon the obstacles detected by the obstacle detection unit, localize the floor processing device using the area map, and transmit control commands to the drive unit and the communication interface. The computing device defines at least one obstacle within the area map that cannot be independently overcome by the floor processing device as a transition obstacle, identifies the transition obstacle based upon a comparison of currently detected obstacles with the transition obstacle stored in the area map, and reports a manual transport requirement to the user upon reaching the transition obstacle.

Abstract: A deep learning-based autonomous vehicle control system includes: a processor determining an autonomous driving control based on deep learning, correcting an error in determination of the deep learning-based autonomous driving control based on determination of an autonomous driving control based on a predetermined expert rule, and controlling an autonomous vehicle; and a non-transitory computer-readable storage medium storing data for the determination of the deep learning-based autonomous driving control, data for the determination of the expert rule-based autonomous driving control, and information about the error in the determination of the deep learning-based autonomous driving control.

Abstract: The target marking device (1) comprises a drone (2) which is provided with at least one transmitter (4), the transmitter (4) comprising an activation element (10) for activating it so that it transmits at a given time a signal (S) which represents a position information item, the transmitter (4) being configured to transmit at least one of the following signals: an infrared signal, a light signal, a sound signal, a signal generated by a chemical substance, the target marking device (1) being part of a target tracking system (6) and/or a target processing system which is provided with movable machinery (7).

Abstract: A tag reader acquires identification data and data of a reception intensity indicative of an intensity of a reception signal from a weight tag mounted on each weight, and a data processing device acquires the identification data and the data of a reception intensity of each weight tag from the tag reader, discriminates the identification data corresponding to each weight tag into attached weight data indicating that a reception intensity corresponding to the identification data exceeds a reference intensity set in advance and other non-attached weight data, and determines an attachment state of the weight to the main body portion based on the attached weight data.

Abstract: A vehicle control device includes: a key authentication unit for permitting use of a vehicle in a portable key ride mode when an authentication with a portable key is successful, and permitting use of the vehicle in an electronic key ride mode when an authentication with an electronic key is successful; a power state recognition unit for recognizing a state of power of the vehicle; a door opening and closing recognition unit for recognizing an open and closed state of a door of the vehicle, a notification control unit for issuing a first notification in the portable key ride mode and issuing a second notification in the electronic key ride mode, when the door opening and closing recognition unit recognizes that the driver's seat door of the vehicle is switched from a closed state to an open state while the power state recognition unit recognizes that the power is on.

Abstract: A vehicle remote operation system includes: a communication device that performs wireless communication with a mobile device; a position determination portion that determines whether the mobile device exists in an activation area; a remote operation acceptance portion that accepts a remote operation as a user instruction operation to move the vehicle; a control execution portion that performs control corresponding to a content of the remote operation; and a notification processor that notifies a user that a position of the mobile device changes from an inside of the activation area to an outside of the activation area.

Abstract: Proposed is a method of managing an error of a control unit for a vehicle, the method including: collecting an error; converting the collected error into a database in a form required for a diagnosis and debugging; and performing a recovery mechanism by interworking a platform health management cluster (PHM), a statement management cluster (SM), and an execution management cluster (EM), in which the collecting of the error includes: collecting a user error occurring in an application for a vehicle; collecting a platform error occurring in at least one of the platform health management cluster (PHM), the statement management cluster (SM), and the execution management cluster (EM); or collecting an integrated error according to whether a network management cluster (NM), a time synchronization cluster (TS), and a persistency cluster (PER) are normally operated.

Abstract: A motion control system is coupled to a first mass and a second mass and is configured to regulate motion of the first mass with respect to the second mass. The motion control system is configured to increase a contact area between the second mass and a surface on which the second mass rests by increasing a displacement of the motion control system from a neutral position in a direction toward the first mass.

Abstract: Systems and methods for providing autonomous vehicle assistance are disclosed. In one embodiment, a method is disclosed comprising detecting a service condition in response to a fault occurring at an autonomous vehicle at a first location; coordinating service with a nearby service provider, the service provider providing a time window and a second location; predicting that the autonomous vehicle will be free to fulfill the service; driving the autonomous vehicle to the second location of the service provider during the time window; and returning the autonomous vehicle to the first location after the service is completed.

Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.

Abstract: An electromechanical biasing member for moving a closure panel between an open and a closed position relative to a motor vehicle body is provided. The electromechanical biasing member includes a housing having an inner cavity for housing an electric motor having a motor shaft and a rotary output member rotatable relative to the housing. An extension member within the housing and engageable with the rotary output member moves the closure panel between the open and closed positions in response to driving the electric motor. Also provided is a control unit positioned within the inner cavity and configured to drive the electric motor, the control unit including at least one controller board juxtaposed to the electric motor, and a plurality of control components mounted to the at least one controller board and configured to supply a drive signal to the electric motor and receive signals representative of operation of the electric motor.

Abstract: Aspects of the disclosure relate to controlling a vehicle having an autonomous driving mode or an autonomous vehicle. For instance, a polygon representative of the shape and location of a first object may be received. A polyline contour representation of a portion of a polygon representative of the shape and location of a second object may be received. The polyline contour representation may be in half-plane coordinates and including a plurality of vertices and line segments. Coordinates of the polygon representative of the first object may be converted to the half-plane coordinate system. A collision location between the polyline contour representation and the polygon representative of the first object may be determined using the converted coordinates. The autonomous vehicle may be controlled in the autonomous driving mode to avoid a collision based on the collision location.

Abstract: A refuse vehicle has a chassis supporting a plurality of wheels, as well as a motor. A vehicle body is also supported by the chassis and defines a receptacle for storing refuse. A lifting system is configured to engage and lift waste containers to transfer refuse within waste containers into the receptacle using a hydraulic system. The refuse vehicle also has a processing unit in communication with the lifting system and the motor. The processing unit is configured to access and execute a plurality of preset operational modes stored within a memory to adjust performance parameters of the hydraulic system. The operational modes include at least two different operational modes corresponding to different refuse types.

Abstract: Among other things, a system provides speed behavior planning for vehicles with autonomous driving capabilities.

Abstract: In various examples, sensor data recorded in the real-world may be leveraged to generate transformed, additional, sensor data to test one or more functions of a vehicle—such as a function of an AEB, CMW, LDW, ALC, or ACC system. Sensor data recorded by the sensors may be augmented, transformed, or otherwise updated to represent sensor data corresponding to state information defined by a simulation test profile for testing the vehicle function(s). Once a set of test data has been generated, the test data may be processed by a system of the vehicle to determine the efficacy of the system with respect to any number of test criteria. As a result, a test set including additional or alternative instances of sensor data may be generated from real-world recorded sensor data to test a vehicle in a variety of test scenarios—including those that may be too dangerous to test in the real-world.

Abstract: A method for automatic electronic control of a brake system in a vehicle includes reading a brake signal for the automatic electronic control of brakes in the vehicle, wherein requests to be implemented by the brakes are transmitted via the brake signal to bring about automatically requested target vehicle longitudinal dynamics. The method further includes determining a brake pressure distribution indicating a ratio of a front axle brake pressure of a front axle to a rear axle brake pressure of a rear axle, and providing at least a first brake pressure signal of the first electronic control unit to at least a first electropneumatic control device, taking into account the braking request signal and the brake pressure distribution for controlling the front axle brake pressure and the rear axle brake pressure, and receiving the brake pressure distribution at a second electronic control unit and storing the detected brake pressure distribution.

Abstract: An alert apparatus starts alerting a driver of a host vehicle, when an oncoming vehicle, that is an other vehicle traveling in an oncoming lane with respect to a traveling lane in which the host vehicle is traveling so as to approach the host vehicle and that is predicted to pass through on a specific direction side with respect to a current position of the host vehicle, is present, a turn signal indicator of the host vehicle corresponding to the specific direction side is being operated, and it is likely that the host vehicle starts turning to the specific direction side.

Abstract: A system for picking up, bundling and depositing agricultural material having a traction vehicle and a towed implement, the system comprising: an actuator associated with the implement; a control device configured to generate control data for controlling the orientation of the implement and steering of the traction vehicle, the control data including information relating to the orientation of the implement adjustable by the actuator, a desired orientation of the deposited agricultural material and at least one of a speed and a direction of travel of the traction vehicle; and wherein, using the control data, the actuator adjusts the orientation about a vertical axis of the implement relative to the traction vehicle to deposit the agricultural material.

Abstract: A drive for a work machine includes a computer configured to control a first electric motor for driving vehicle wheels and a second electric motor for driving a work attachment. The computer is configured to process signals which correspond to control of a movement of a lifting mechanism of the work attachment or a bucket of the work attachment. The computer is further configured to process a signal which corresponds to a position of an accelerator pedal. The first electric motor and the second electric motor are configured to be controlled separately from each another, and control of the second electric motor takes place according to the control of the movement of the work attachment.