Abstract: A method of operation of a navigation system includes: determining a geographic location, of a vehicle, while a global positioning location is blocked by an obstruction and the geographic location is from an in-vehicle location sensor in the vehicle; extracting an image line from a surrounding image with an artificial intelligence model and the surrounding image is from an in-vehicle image sensor in the vehicle; transforming an image coordinate of the image line to a world coordinate of a HD map local storage based on the geographic location; extracting a map line from the HD map local storage based on the world coordinate; determining a pose relationship between the image line and the map line paired as either horizontal or vertical; generating a map-related location for the vehicle based the geographic location and the pose relationship; and communicating the map-related location for displaying on a user interface.

Abstract: A robot system includes an operating device that receives an operation instruction from an operator. The system further includes a real robot that is installed in a work space and performs a series of works constituted of a plurality of steps. The system further includes transmission type display device configured to allow the operator to visually recognize a real world and configured to display a virtual. The system further includes a control device configured to operate the virtual robot displayed on the transmission type display device based on instruction information input from the operating device. The control device is further configured to thereafter operate the real robot while maintaining a state that the virtual robot is displayed on the transmission type display device when operation execution information to execute an operation of the real robot is input from the operating device.

Abstract: The present invention is intended to make it possible to automatically drive a test object without performing pre-learning for a running performance map for each vehicle. There is provided an automatic test object driving device that automatically drives a test vehicle based on a command vehicle speed, and that includes a driving actuator for performing driving operation of the test vehicle, and a driving control unit for controlling the driving actuator. The driving control unit includes a first accelerator map and a second accelerator map each of which indicates a relationship among a vehicle-speed-related value, an acceleration-related value, and an accelerator-depression-amount-related value. The driving control unit uses the first accelerator map to determine an accelerator depression amount corresponding to the command vehicle speed, and uses the second accelerator map to correct the accelerator depression amount by feeding back a vehicle speed and an acceleration of the test vehicle.

Abstract: A control device includes a route acquisition unit configured to acquire routes of a movable body for moving target objects to or from a target position at which the target objects are to be picked up or dropped, a reference position/posture acquisition unit configured to acquire information on a position at which the movable body picks up or drops a first target object of the target objects at the target position, and an information output unit configured to output information acquired by the route acquisition unit to the movable body. The route acquisition unit is configured to acquire the routes of the movable body for moving second and subsequent target objects of the target objects, based on the information acquired by the reference position/posture acquisition unit.

Abstract: Systems and methods for using a computing device with sensors to determine a holistic characteristic. The computing device is configured to receive from a user device, via a first wireless data connection, a request to generate vehicle service parameters, based on a current condition of a feature of a vehicle, receive from the user device, via the first wireless data connection, vehicle-specific identifying information, determine data for a past condition for the feature of the vehicle, using the vehicle-specific identifying information, establish a second wireless data connection with an electronic system of the vehicle, receive, from the electronic system of the vehicle, via the second wireless data connection, data of a current condition for the feature, compare the data of the past condition and the data of the current condition, and generate a vehicle service parameter based on the comparison.

Abstract: A data collection device is mounted on a work machine and collects data that is collectable from the work machine. The data collection device includes a collectable list generation unit and a collectable list notification unit. The collectable list generation unit updates a collectable list indicating a type of data that is collectable from the work machine, in a case in which a change has occurred in the type of data that is collectable. The collectable list notification unit transmits the updated collectable list to an external device outside the work machine.

Abstract: A construction machine includes: a lower travelling body; an upper slewing body attached to the lower travelling body with a structure allowing the upper slewing body to slew with respect to the lower travelling body; a work device attached to the upper slewing body with a structure allowing the work device to swing in a vertical direction with respect to the upper slewing body; a motion state acquisition unit acquiring a motion state amount; an equivalent system forming unit which forms a transfer function which uses a driving force for moving the work device as an input and uses the motion state amount as an output as an equivalent system which equivalently expresses an operation of the work device; and a parameter estimation unit which estimates a system attenuation coefficient and a natural angular frequency of the transfer function as an operation skill evaluation value.

Abstract: A local operator-controlled work machine receives a wake-up call when it is not running. The wake-up call turns on a user interface in the machine. A remote machine configuration system loads a job file onto the machine and the machine turns off again.

Abstract: A computer-implemented method of navigating a vertical take-off and landing (“VTOL”) vehicle near a landing zone, may comprise receiving data related to a first radar signal reflected from at least one corner reflector; determining whether the received data is consistent with a predefined target landing zone; upon determining that the received data is consistent with the predefined target landing zone, determining a location of the VTOL vehicle relative to the predefined target landing zone, using a second radar signal reflected from at least one corner reflector; and determining whether the location of the VTOL vehicle is consistent with a predefined landing position.

Abstract: A method for operating a vehicle includes detecting a traffic light located at a first spatiotemporal location based on a first digital video stream captured by a first camera and a second digital video stream captured by a second camera. It is determined that the vehicle is located at a second spatiotemporal location by validating first location data received from sensors against second location data obtained by filtering the first location data. It is determined that the traffic light is expected at the first spatiotemporal location based on a semantic map referenced by the second spatiotemporal location. Responsive to determining that the traffic light is expected at the first spatiotemporal location, a traffic signal of the traffic light is detected based on the two digital video streams. A trajectory is determined in accordance with the traffic signal. A control circuit operates the vehicle in accordance with the trajectory.

Abstract: The present disclosure relates to an autonomous forklift truck capable of recognizing a location of the autonomous forklift truck and a location of an obstacle in a work area, and the truck includes a location recognition sensor to detect the location of the autonomous forklift truck through a laser emitted and reflected from a reflective marking equipped in a structure, a first sensor to detect an obstacle near a work area floor, a second sensor to detect an obstacle at a predetermined height from the floor, a fork laser sensor to measure a distance from a rack where a pallet is loaded or a distance from the pallet, a first fork photoelectric sensor and a second fork photoelectric sensor, and a control unit to process sensing signals inputted from all the sensors and control the driving and attachments of the autonomous forklift truck.

Abstract: A product and system for identifying and monitoring a characteristic including the part ID, presence, condition, usage and/or performance of ground-engaging products used on various kinds of earth working equipment.

Abstract: Methods and systems for operating a system that includes an array of sensors are described. In one example, output of sensors included in the array is characterized as being in one of a plurality of states. Diagnostics may be performed on sensors in the array of sensors based on sensors being in one of the plurality of states.

Abstract: The present disclosure provides a training and application method of a multi-layer neural network model, apparatus and storage medium. A number of channels of a filter in at least one convolutional layer in the multi-layer neural network model is expanded, and a convolution computation is performed by using the filter after expanding the number of channels, so that the performance of the network model does not degrade while simplifying the network model.

Abstract: An automatic vehicle speed control system for use in a vehicle having an implement is disclosed. The automatic vehicle speed control system includes: a controller configured to: set a speed of the vehicle to a creep setting; monitor one or more operating conditions of the implement; and automatically adjust the speed of the vehicle based on the one or more operating conditions of the implement.

Abstract: A method of migrating unmanned aerial vehicle (UAV) operations between geographic survey areas, including: uploading a first plurality of flight missions into a first UAV pod; deploying the UAV pod; autonomously launching the UAV from the UAV pod a plurality of times to perform the first plurality of flight missions; providing first survey data from the UAV to the UAV pod; autonomously migrating the UAV from the first UAV pod to a second UAV pod; receiving a second plurality of flight missions in a second UAV pod; providing the UAV with one of the second plurality of flight missions from the second UAV pod; autonomously launching the UAV from the second UAV pod a plurality of times to perform the second plurality of flight missions; and providing a second survey data from the UAV to the second UAV pod; where the autonomous migrating of the UAV to accomplish the first and second survey data happens autonomously and without active human intervention.

Abstract: The present invention generally relates to a novel concept of analyzing vehicle data for determining e.g. a status of component comprised with the vehicle, specifically by correlating collected vehicle diagnosis data. The invention also relates to a corresponding system and a computer program product. In addition, the invention additionally relates to an arrangement for collecting said vehicle diagnosis data.

Abstract: A map-based notification system configured to perform operations that include: accessing a base-map that comprises a map-tile, the map-tile defining a speed limit of a location; receiving vehicle data that includes speed data; determining that the speed data from the vehicle data transgresses the speed limit associated with the location defined by the map-tile; and causing display of a notification in response to determining that the speed data from the vehicle data transgresses the speed limit associated with the location defined by the map-tile.

Abstract: A work machine capable of assisting in an operator's operation to allow a work tool move along a design surface indicating a target shape of an object to be worked irrespectively of an angle of the design surface and a posture of a work implement is provided. A controller determines an excavation actuator in charge of an excavation action and determines an alignment actuator in charge of an alignment action for a work tool out of a plurality of actuators on the basis of the design surface set by a work execution target setting device and the posture of the work implement measured by a work implement posture/position measurement device, determines a target velocity of the excavation actuator on the basis of operation signals outputted from an operation device, and limits a target velocity of the alignment actuator in a direction in which the work tool approaches the design surface.

Abstract: A simulation system for telehandlers that are equipped with a movable operating arm designed to lift and move loads, and stabilisers that include a plurality of movable stabilising arms. An acquisition module is configured to receive at least functional parameters relating to operating conditions of the stabilising arms. A calculation module is configured to determine a potential stability condition as a function of the operating parameters. And an output module is configured to provide an operator with information representing the condition of potential stability.