Abstract: An auto-benching grade control system and method are provided for work machines such as excavators. Movements of at least one implement relative to a machine frame are actuated based on user inputs via a first user interface tool. Manual/automatic control modes are selected based on user inputs via a second user interface tool. Responsive to further user input via at least one of the first and second user interface tools, a target elevation is automatically specified based on a current elevation of at least one implement component corresponding to the further user input. During the automatic control mode, movement of at least the implement is controlled based at least in part on a specified target mainfall and a specified target cross-slope for at least a portion of the terrain to be worked, and the specified target elevation.

Abstract: An embodiment vehicle includes a communicator configured to communicate with a server, a sensor, a user interface device, and a controller configured to generate a plurality of routes based on destination information received through the user interface device, wherein the controller is configured to generate a first route not including an exclusive lane from a position of the vehicle to a destination, and in response to information on a maximum occupancy of the vehicle satisfying a first preset condition and information on a number of occupants in the vehicle acquired by the sensor satisfying a second preset condition, generate a second route including the exclusive lane from the position of the vehicle to the destination.

Abstract: An apparatus, method and computer program product are provided for predicting tire temperature levels. In one example, the apparatus receives input data indicating attributes of the target vehicle and attributes of target routes for the target vehicle. The apparatus causes a machine learning model to generate output data as a function of the input data, where the output data indicate a subset of the target routes of which the target vehicle can successfully traverse while using the at least one spare tire. The machine learning model is trained to generate the output data as a function of the input data based on training data, where the training data indicate events in which vehicles used spare tires to traverse routes. The training data indicate attributes of the vehicles and attributes of the routes.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for controlling operation of an autonomous vehicle (AV) based on changing weather conditions. A weather state that is changing in an environment during operation of an AV can be identified based on data gathered by the AV operating in the environment. An extent that the weather state has changed in the environment can be determined from the data gathered by the AV. Operation of the AV can be controlled based on both characteristics of the weather state that is changing and the extent that the weather state has changed.

Abstract: Examples of the present disclosure provide a computer-implemented system, comprising instructions for performing operations including: estimating locations in a region of a map where features associated with water, snow or ice are likely to be formed under certain adverse weather conditions; simulating one of the adverse weather conditions; generating the features associated with the simulated one of the adverse weather conditions at the locations; determining a response of a perception stack of an autonomous vehicle (AV) to the adverse weather conditions observed at the locations; determining a reaction of the AV to the features generated in the region, the reaction of the AV being a function of a configuration of the AV; in response to the reaction, updating the configuration; repeating the determining the reaction and the updating the configuration until a desired reaction is obtained; and exporting a final configuration corresponding to the desired reaction to a physical AV.

Abstract: Force balancing can be implemented for actuators of an electric power machine. A method may include receiving a command for movement of a work element using a first electric actuator and a second electric actuator of the electric power machine and determining a target electric current based on the command for movement. The method may also include controlling the movement of the work element based on the target electric current, including providing substantially equal electric current to each of the first and second electric actuators to substantially balance forces exerted by the first and second electric actuators on the work element.

Abstract: A method for checking the suitability of a target trajectory for trajectory control of a vehicle. The target trajectory contains route information about the path of a route to be driven and momentum information about the momentum with which the route should be driven. The target trajectory is assessed as suitable for the trajectory control if the target traction and target tractive power are below a predetermined characteristic traction curve or characteristic tractive power curve, the target steering power is below a predetermined power limit of the steering, and the horizontal target tire forces on each wheel are within the friction value limits determined by the friction value. Otherwise, the target trajectory is assessed to be unsuitable.

Abstract: Embodiments for improving driving commands for vehicular end-to-end driving include a method for a connected vehicle that includes receiving command data describing one or more driving commands for the connected vehicle. The method includes correcting the one or more driving commands to generate modified command data that describes one or more modified driving commands. The one or more modified driving commands control an operation of the connected vehicle to satisfy a trajectory safety requirement. The method includes modifying an operation of a vehicle control system of the connected vehicle based on the modified command data so that the connected vehicle operates based on the one or more modified driving commands.

Abstract: Aspects of the disclosure relate to a method of managing a fleet of autonomous vehicles providing trip services. The method includes receiving information identifying an intermediate destination and a final destination for a trip. In this example, the intermediate destination is a destination where an autonomous vehicle will drop off and wait for a passenger in order to continue the trip, and the final destination is a destination where the trip ends. The method also includes determining an amount of waiting time the vehicle is likely to be waiting for the passenger at the intermediate destination, determining how a vehicle of the fleet of autonomous vehicles should spend the amount of waiting time, and sending an instruction to the vehicle, based on the determination of how the vehicle should spend the amount of waiting time.

Abstract: A method for heads-up control and interactive display of traffic targets via a heads-up display (HUD) includes: receiving position data from proximate aircraft (e.g., within a threshold range); arranging the aircraft into an ordered sequence based on proximity or other criteria; overlaying interactive symbology onto the HUD synthetic display corresponding to the proximate aircraft (including any aircraft within range but outside the HUD field of view, e.g., behind the aircraft or pilot); accepting control input from a user via a heads-up controller (e.g., manual control or voice command) and focusing a cursor on each proximate aircraft in sequence based on the control input; selecting, via the heads-up controller, focused aircraft via the heads-up controller; and designating, via the heads-up controller, selected aircraft for CDTI Assisted Visual Separation (CAVS) or other traffic applications.

Abstract: A road user identification system for identifying a road user is provided. The system includes a digital camera generating a digital image of a road with the road user on the road. The system further includes a computer operably coupled to the digital camera that receives the digital image. The computer has a digital image based classification model with a neural network machine learning algorithm that analyzes the digital image and determines a first probability value. The first probability value indicates a probability that the road user has a first wearable marker that is associated with a specific type of road user. The computer stores a road user identifier corresponding to the specific type of road user in a memory device when the first probability value is greater than a threshold probability value.

Abstract: A presentation control device is configured to control information presentation to a driver of a vehicle. A determination unit is configured to distinguish between a monitoring interruption mode in which the driver is permitted to interrupt surroundings monitoring and a monitoring-required mode in which the driver is prohibited to interrupt the surroundings monitoring, and in the monitoring-required mode, between a hands-free permitted state and a hands-free prohibited state. A presentation control unit configured to perform the information presentation related to a mode transition from the monitoring interruption mode to the monitoring-required mode when the mode transition occurs. The presentation control unit is configured to perform the information presentation at an earlier timing when the monitoring interruption mode is transitioned to the hands-free prohibited state than when the monitoring interruption mode is transitioned to the hands-free permitted state.

Abstract: An information processing device includes: an acquirer configured to acquire movement information on movement of a vehicle where a user is not on board, the movement information including position information of a movement destination; a storage configured to store the movement information of the vehicle that is acquired by the acquirer; and a controller configured to: generate route information indicating time-series positions of the vehicle based on the movement information stored in the storage; and transmit the route information to an information terminal of the user.

Abstract: In one embodiment, a method includes determining a connectivity model associated with a region of a road network, wherein the connectivity model was trained using vehicle traffic-pattern data comprising a first lane identifier and a second lane identifier indicating one or more lanes associated with a vehicle trajectory through the region and a traffic-light state corresponding to signal information of traffic lights in the region when a vehicle moved through the region, determining for at least one egress lane in the region based on the connectivity model a lane relationship indicating one or more ingress lanes in the region onto which a vehicle in the egress lane can move and one or more governing traffic lights selected from the traffic lights in the region that govern the egress lane, and encoding the lane relationship and the one or more governing traffic lights into a map of the region.

Abstract: A method to control at least a first and a second parallel hybrid driveline arranged to drive a marine vessel is provided. Each driveline comprises a first propulsion unit operatively connected with a second propulsion unit to drive a propeller shaft and produce a thrust force. At least one control unit controls each first and second propulsion unit in all the parallel hybrid drivelines. The method involves individual adjustment of the rotational speed of the first propulsion unit in each driveline to improve the efficiency of this first propulsion unit while maintaining the requested vessel speed, and a simultaneous adjustment of the load from the second propulsion unit in each driveline to improve the efficiency of each driveline and the complete driveline installation.

Abstract: An interactive device to perform speech interaction with a speaker includes a recognition section, an input/output section, an information generation section, an identification section, and a control section. The recognition section is configured to recognize audience members around the speaker. The input/output section is configured to input and output information as speech. The information generation section is configured to generate second information in response to first information that has been input to the input/output section. The identification section is configured to identify a speaker who spoke the first information. The control section is configured to judge whether or not the second information is information favorable to the speaker identified by the identification section, and to cause the second information to be output from the input/output section in cases in which the second information is judged to be favorable.

Abstract: A geo-converged telemetry (GCT) system is described that provides an exchange of geographically-relevant telemetry data amongst various vehicles, devices, and systems for providing a holistic view of a geographic area. Telemetry data from various sources may be continually collected and transmitted to a nearby node of a GCT system, where the data may be converged based on geolocation and processed. The same and/or other vehicles, devices, and systems may operate as telemetry consumers that receive feeds of geo-converged telemetry data that may be tailored to functionalities of the consumer. As a vehicle moves, data that are determined to be geographically-relevant changes. The location of the processing may move from one processing node to another processing node in the edge network such that the processing is located proximate to the vehicle to minimize latency and provide real time or near-real time feedback based on a holistic view of the geographic area.

Abstract: A wheel loader includes: a front frame; a bucket; a boom having a distal end connected to bucket, and a proximal end rotatably supported by front frame; a sensor configured to measure a distance between boom and a loading target; and a controller configured to control an action of wheel loader. The controller causes wheel loader to perform a predetermined action for collision avoidance on condition that a distance to be measured by sensor when wheel loader travels takes a value less than or equal to a threshold value.

Abstract: A display control device installed in a vehicle includes a receiving unit that receives information concerning dirt of a vehicle-mounted sensor installed in the vehicle, and a control unit that controls display of a wash execution button displayed on a display device installed in the vehicle for executing washing of the vehicle-mounted sensor, based on the information concerning the dirt received by the receiving unit.

Abstract: An efficiency-based powertrain control system and method to provide real-time optimization of powertrain efficiency for a plug-in hybrid electric vehicle (PHEV).