Abstract: A construction management device computes a risk indicative of a degree of danger with which an accident occurs on the basis of information relating at least to a position of a worker measured by a worker position measuring device and a worker biometrical information measuring device, information relating at least to a position of a hydraulic excavator measured by a machine body position measuring device, a machine body posture measuring device, a machine front implement posture measuring device, and a machine operator biometrical information measuring device, personal information on a worker and an operator registered in a worker information registration device, and information on a construction environment from an environment information registration device, and outputs the computed risk as a coordinate risk associated with coordinates of the construction environment to a risk display device such that the computed risk is displayed in a map format on the risk display device.

Abstract: An identification key associated with a motor vehicle is carried by a user as the user moves outside of the motor vehicle. When the identification key enters the reception range of short-range transceiver units, position data of the identification key are ascertained and transmitted via a far-field transceiver unit which is not included in the identification key. The receiver of the transmitted position data ascertains a movement vector for the identification key from the position data. If the movement vector meets at least one predefinable activation criterion, preconditioning of at least one component of the motor vehicle is activated.

Abstract: A solar loading-based system includes a memory, a disturbance prediction module, a cabin temperature estimation module and a thermal control module. The memory stores a cabin thermal load model of an interior cabin of a host vehicle and a solar load prediction model. The disturbance prediction module: receives signals indicative of states of cabin thermal actuators and comfort metrics; and predicts an effect of solar loading over a known portion of a predicted route including predicting cabin temperatures based on the solar load prediction model, the states of the cabin thermal actuators, and the comfort metrics. The cabin temperature estimation module, based on the cabin thermal load model, determines a first comfort metric based on the predicted cabin temperatures. The thermal control module controls cabin thermal actuators to adjust cabin states, including the first comfort metric, to respective target values based on the predicted effect of solar loading.

Abstract: Methods and systems enabling electronic devices associated with each of at least two watercrafts to dynamically form ad hoc wireless networks when the corresponding watercrafts are within range of one another are provided. Data transfer on the water is thus enhanced via such ad hoc mesh-type networks.

Abstract: A system and method for tactically positioning a sailing boat are defined which calculate a plurality of predicted locations the sailing boat may be situated in order to arrive at a destination at a target time by following a predetermined route. The plurality of predicted locations define a zone which is visually represented with the current location of the sailing boat. to accurate guidance of the sailing boat.

Abstract: A system and a method for providing service on a golf course using a fuel cell drone using a hydrogen fuel cell as a power source to provide various services while preventing a rounding delay of golfers are provided. A fuel cell drone of a system for providing service on a golf course may include a hydrogen fuel tank in which hydrogen is charged, a power pack configured to generate power to drive the fuel cell drone using the hydrogen in the hydrogen fuel tank, and a controller configured to move the fuel cell drone to a docking station or a gas supply place in response to determining that an amount of hydrogen remaining in the hydrogen fuel tank is below a set value.

Abstract: A method for weed management is provided. The method may comprise collecting image data of a plantation field after being applied with a primary weed control technique. The method may further include recognizing items indicative of an occurrence of a weed in the collected image data. The method may further include generating a weed pressure map indicative of a weed pressure in the plantation field. The method may further include determining one or a plurality of target areas for weed management in the generated weed pressure map and outputting a treatment control signal, which, when transmitted, causes an activation of at least one weed treatment device to apply at least one secondary weed control technique to the one or the plurality of determined target areas, wherein the at least one secondary weed control technique is different from the primary weed control technique.

Abstract: A display system can be configured to identify a space object and an object alert associated with a change in one or more movement parameters of the space object. The system can generate data configured to display a display region and an object alert indicator within the display region. The system can display the object alert indicator at a location within the display region and display, within a second display region, a listing of a plurality of alerts comprising the object alert. The system can receive a user selection of an alert from the plurality of alerts configured to be displayed in the second display region and automatically generate updated data configured to display an updated display region based on the user selection of the alert. The updated display region can include a panned, rotated, and/or zoomed perspective of the display region.

Abstract: A method of determining a tow hitch position. The method includes obtaining a two-dimensional image of a tow hitch in a three-dimensional scene. A model tow hitch is obtained in three dimensions. A three-dimensional rendering of a scene is generated that includes the model tow hitch. The model tow hitch in the three-dimensional rendering is positioned in an orientation corresponding with an orientation of the tow hitch in the three-dimensional scene.

Abstract: A construction machine includes a posture sensor provided on a front member of a front work implement. An external environment recognition device detects an object around a main body, and a controller calculates a dead angle range from a recognition range of the external environment recognition device. An assumed movement range in which a moving body is assumed to exist in the dead angle range in a period of time determined in advance is calculated; and a movable range within which the front work implement is movable in a period of time determined in advance is calculated on the basis of the posture information detected by the posture sensor. Preventative control is then performed for preventing contact between the moving body and the front work implement on the basis of the assumed movement range of the moving body and the movable range of the front work implement.

Abstract: Kurtosis based pruning for a sensor-fusion system includes aligning candidate radar tracks with one of multiple candidate visual tracks. For each candidate vision track, a weight or other evidence of matching is assigned to each candidate radar track. An inverse of matching errors between each candidate vision track and each candidate radar track contributes to the evidence, which is normalized to produce, for each candidate vision track, a distribution associated with all candidate radar tracks. A Kurtosis or a shape of this distribution is calculated. Based on Kurtosis values, some candidate radar tracks are selected for matching and other remaining candidate radar tracks are pruned. The Kurtosis is used to determine how many candidates to retain and how many to prune.

Abstract: A first computing device can implement a method for providing navigation instructions. The method includes initiating a first navigation session for providing a first set of navigation instructions to a user from a starting location to a destination location along a first route. The method also includes detecting a second computing device in proximity to the first computing device, and determining that the second computing device is implementing a second navigation session for providing a second set of navigation instructions to the destination location along a second route. Further, the method includes adjusting the first navigation session in accordance with the second navigation session.

Abstract: The present disclosure generally relates to evaluating communication workflows comprised of tasks using machine-learning techniques. More particularly, the present disclosure relates to systems and methods for generating a prediction of a task outcome of a communication workflow, generating a recommendation of one or more tasks to add to a partial communication workflow to complete the communication workflow, and generating a vector representation of a communication workflow.

Abstract: A control device for a hybrid vehicle includes: a prediction unit that acquires position information of a parking point where parking time of the hybrid vehicle on a travel route is predicted to exceed a threshold value; and a target setting unit that sets a target charge rate of the battery and changes the target chare rate to a second charge rate that is lower than a first charge rate in a normal state when the hybrid vehicle satisfies an approach condition of approaching the parking point. A charge and discharge amount is controlled such that a charge and discharge amount of the battery corresponding to the second charge rate when the target setting unit sets the target charge rate to the second charge rate is larger to a discharge side than a charge and discharge amount of the battery corresponding to the second charge rate in the normal state.

Abstract: First feature points can be determined which correspond to pose-invariant surface model properties based on first data points included in a first lidar point cloud acquired by a sensor. A three-dimensional occupancy grid can be determined based on first data points included in the first lidar point cloud. Dynamic objects in a second lidar point cloud acquired by the sensor can be determined based on the occupancy grid. Second feature points can be determined which correspond to pose-invariant surface model properties based on second data points included in the second lidar point cloud not including the dynamic objects. A difference can be determined between corresponding feature points included in the first feature points and the second feature points. A traffic infrastructure system can be alerted based on the difference exceeding a threshold.

Abstract: A vehicular control system includes a camera that captures image data. The system includes an electronic control unit (ECU) for processing image data captured by the camera. The ECU, via processing by an image processor of image data captured by the camera, determines lane information of a traffic lane along a road being traveled by the equipped vehicle. The ECU determines a lane quality value that represents a confidence in the determined lane information. When the lane quality value exceeds a threshold value, and based at least in part on the determined lane information, the ECU provides a steering command to a steering system of the equipped vehicle to adjust a heading of the equipped vehicle to center the equipped vehicle within the traffic lane of the road being traveled by the equipped vehicle.

Abstract: A single crystal ingot growth control device includes: an input unit that receives a diameter error that is a difference value between a measured diameter of the ingot and a target diameter; a calculation unit that performs integral calculation on the diameter error received by the input unit in real time and calculates a final pulling speed for each set time that is increased stepwise by reflecting the diameter error integral value, and an output unit that outputs the final pulling speed calculated by the calculation unit to a pulling controller during the set time.

Abstract: A vehicle travel control apparatus configured to control a traveling operation of a vehicle including an actuator for traveling, including a first sensor mounted on the vehicle to capture an image of a division line in a traveling direction of the vehicle or measure the division line, a second sensor mounted on the vehicle to detect a movement of a preceding vehicle, and an electronic control unit including a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform controlling the actuator based on a position information of the division line obtained by the first sensor and a reliability with respect to the position information of the division line obtained by the first sensor, and the controlling including decreasing the reliability when a predetermined movement of the preceding vehicle to intersect the division line is detected by the second sensor.

Abstract: Automating reinforcement learning for autonomous vehicles may include assigning a probability with a scenario and varying that probability based at least in part on changes in performance by the autonomous vehicle associated with that scenario. The amount of time and computational bandwidth required to train a machine-learned component of an autonomous vehicle and the accuracy of the machine-learned component may be improved by determining a reward for performance of the autonomous vehicle in a scenario based at least in part on an severity metric. The impact severity metric may be determined based at least in part on a velocity, angle, and/or interaction area associated with the impact.

Abstract: Systems and methods are disclosed for motion forecasting and planning for autonomous vehicles. For example, a plurality of future traffic scenarios are determined by modeling a joint distribution of actor trajectories for a plurality of actors, as opposed to an approach that models actors individually. As another example, a diversity objective is evaluated that rewards sampling of the future traffic scenarios that require distinct reactions from the autonomous vehicle. An estimated probability for the plurality of future traffic scenarios can be determined and used to generate a contingency plan for motion of the autonomous vehicle. The contingency plan can include at least one initial short-term trajectory intended for immediate action of the AV and a plurality of subsequent long-term trajectories associated with the plurality of future traffic scenarios.