Abstract: An electronic apparatus and an operating method are provided. The electronic apparatus includes a storage, at least one sensor, and at least one processor configured to execute stored instructions to while the electronic apparatus is moving, capture a surrounding image by using the at least one sensor, when an unable-to-move situation occurs while the electronic apparatus is moving, generate context data including a surrounding image captured within a predetermined time from a time when the unable-to-move situation has occurred, store, in the storage, the generated context data corresponding to the unable-to-move situation having occurred, and learn the stored context data by using one or more data recognition models.

Abstract: A work machine controller that is coupled to the boom assembly may comprise of a controller with a memory that stores computer-executable instructions and a processor that executes instructions. The instructions include monitoring a first position signal from the first boom position sensor, a second position signal from the second boom position sensor, the load signal, and the orientation signal. The instructions then include calculating a load vector based on the load signal and the orientation signal, generating a disorientation signal based on the load vector and a direction of travel, determining if the disorientation signal is outside a predetermined threshold, and actuating one or more of the actuators and the ground-engaging mechanism to reorient the load when the disorientation signal exceeds the predetermined threshold.

Abstract: A control device of a steering device, for a vehicle, which includes left and right steering mechanisms not mechanically coupled to each other, and which steers left and right steered wheels individually by driving force of steering actuators, includes: a steered angle determining unit that determines a target steered angle for each of the left and right steering mechanisms; and a steering command unit that generates drive signals corresponding to the target steered angles, and outputs the drive signals to each of the actuators. When an anomaly occurs in one of the left and right steering mechanisms, the steered angle determining unit sets the target steered angle for the steering mechanisms that is normal to be different from the target steered angle when both the left and right steering mechanisms are normal.

Abstract: In one embodiment, an exemplary method of autonomously charging an autonomous driving vehicle includes receiving, from a sensor in an autonomous driving vehicle (ADV), indication that a batter level of the ADV falls below a threshold; and selecting a charging pile from a plurality of charging piles on a high definition map based on information received from a cloud server. The method further includes generating a first trajectory based on a current location of the ADV and a location of the selected charging pile, the first trajectory connecting a first point representing the current location of the ADV to a second point at the selected charging pile, and including a first segment and a second segment. The method further includes driving forward along the first segment of the first trajectory, and driving backward along the second segment of the first trajectory when the ADV drives towards the selected charging pile along the first trajectory.

Abstract: A control unit of the sensor control device controls sensor based on the planimetric feature information related to the planimetric features and the sensor information related to the sensors. Thereby, while the sensors are appropriately operated as necessary, and the detailed current information of the planimetric feature is acquired by the sensors, the total data size of the information acquired by the sensors can be reduced.

Abstract: In an abnormality detection method for detecting an abnormality in vehicle behaviors based on an abnormality degree indicating a degree of difference between first driving information representing a vehicle behavior undergoing abnormality detection and second driving information obtained when no abnormality is found in a travel environment, an abnormality threshold is estimated using an abnormality degree distribution generated from a set of preaccumulated abnormality degrees. The abnormality threshold is an abnormality degree allowing a probability of erroneous determination as to presence or absence of an abnormality to be a predefined probability. Further, in the abnormality detection method, it is detected whether an abnormality is found in the vehicle behavior by comparing the abnormality degree for the first driving information and the estimated abnormality threshold.

Abstract: A method for operating a transportation vehicle, in particular, for driving the transportation vehicle into a predefined parking space, wherein a first trajectory for automated travel of the transportation vehicle into the predefined parking space is stored in a vehicle-side memory device, which trajectory has been detected during manual travel of the transportation vehicle into the predefined parking space and the first trajectory is assigned tolerance values for a deviation from the first trajectory, which is the maximum deviation by which the transportation vehicle deviates from the first trajectory during automated travel into the predefined parking space, wherein, in the case of at least one further instance of manual travel of the transportation vehicle into the predefined parking space, the further trajectory which is travelled along is detected automatically and the first trajectory and the further trajectory are compared with one another.

Abstract: Embodiments of the present disclosure provide a step apparatus for a vehicle and a vehicle. In some embodiments, the step apparatus for the vehicle includes: a foot step; a load detection device coupled to the foot step for detecting a load applied to the foot step; a controller in communication with the load detection device and configured to receive and process a load signal detected by the load detection device and to determine whether the foot step is overloaded; and an alarm in communication with the controller. In some embodiments, the controller is further configured to generate an alerting signal to control the alarm to send out an alert when the foot step is overloaded.

Abstract: A processor is configured to execute instructions stored in a memory to determine, in response to identifying vehicle operational scenarios of a scene, an action for controlling the AV, where the action is from a selected decision component that determined the action based on level of certainty associated with a state factor; generate an explanation as to why the action was selected, such that the explanation includes respective descriptors of the action, the selected decision component, and the state factor; and display the explanation in a graphical view that includes a first graphical indicator of a world object of the selected decision component, a second graphical indicator describing the state factor, and a third graphical indicator describing the action.

Abstract: The aircraft take-off awareness system predicts and informs the pilot about where on the runway certain safety speeds will be achieved. A processor coupled to receive inertial data from the aircraft computes an aircraft weight estimate based at least in part upon the inertial data. The processor then computes a future acceleration prediction based on the computed aircraft weight estimate. Using the future acceleration prediction, the processor then computes the position of various warning reference distances corresponding to predicted positions on the runway at which said certain safety speeds will be achieved. The processor generates a display that it dynamically updates as the reference distances change as the aircraft proceeds down the runway during take-off or aborted take-off.

Abstract: A device can receive fuel information associated with a vehicle and location information associated with the vehicle. The device can determine a home location associated with a user of a client device and a destination location associated with the user. The device can determine an estimated fuel usage, of the vehicle, associated with a route between the home location and the destination location. The device can determine an estimated quantity of trips between the home location and the destination location. The device can generate refueling information, associated with the vehicle, wherein the refueling information includes information identifying at least one of: the estimated quantity of trips between the home location and the destination location, a recommended date and time to refuel the vehicle, or a recommended refueling location. The device can transmit the refueling information to the client device.

Abstract: A method including operating a vehicle in a medium. The vehicle is subject to advection due to movement of the medium. The method also includes measuring, using a navigation system, positions of a vehicle over time. The method also includes measuring, using a directional sensor, a course-through-medium over the time. The method also includes calculating, using the positions and the course-through-medium, a variation of a speed-over-ground of the vehicle over the time as a function of the course-through-medium over the time. The method also includes concurrently estimating, using the variation, 1) an average speed-through-medium for the vehicle over the time, and 2) an advection rate of the medium, and 3) an advection direction of the medium.

Abstract: When information related to road surface conditions is conveyed from a vehicle body side system to a tire-mounted sensor and the tire-mounted sensor determines the road surface condition, an integrated voltage value is corrected based on the information related to the road surface condition. It is thus possible to estimate the road surface condition more accurately. Furthermore, in as much as the road surface condition is estimated at each tire-mounted sensor, the road surface condition can be estimated for each wheel.

Abstract: Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

Abstract: A road surface state determination device includes a tire-side device and a vehicle-body-side system. The tire-side device is attached to a back surface of a tread of each of a plurality of tires included in a vehicle. The vehicle-body-side system is included in a body of the vehicle. The tire-side device outputs a detection signal corresponding to a magnitude of vibration applied to the tire. The tire-side device generates road surface data indicative of a road surface state appearing in a waveform of the detection signal. The tire-side device transmits the road surface data. The vehicle-body-side system performs bidirectional communication with the tire-side device and receives the road surface data. The vehicle-body-side system determines the road surface state of a road surface on which the vehicle is traveling based on the road surface data.

Abstract: This electric vehicle control device is provided with: an efficiency control unit which, during travel of the electric vehicle, in a state in which the battery is prone to deteriorate, increases the rate of consumption of the power charged in the battery by performing control for reducing the efficiency of the motor; a travelable distance calculation unit which calculates the travelable distance of the electric vehicle using the SOC of the battery and a travel coefficient; and a travel coefficient correction unit which, before and after the efficiency control unit performs control for reducing the efficiency of the motor, corrects the travel coefficient such that change in the travelable distance calculated by the travelable distance calculation unit is reduced.

Abstract: A vehicular control system includes at least one processor that processes image data captured by a forward viewing camera and radar data captured by a forward sensing radar sensor. With the system controlling driving of the vehicle, the system determines a triggering event that requires driving of the vehicle to be handed over to a driver of the vehicle before the vehicle encounters an event point, and the system (i) determines a total action time until the vehicle encounters the event, (ii) estimates a driver take over time for the driver to take over control and (iii) estimates a handling time for the driver to control the vehicle to avoid encountering the event point. Based on the determined and estimated times, the system (i) requests the driver take over control of the vehicle or (ii) controls the vehicle to slow down and stop the vehicle before the event point.

Abstract: A road surface state determination device includes a tire-side device and a vehicle-body-side system. The tire-side device is attached to a tire of a vehicle. The vehicle-body-side system is included in a vehicle body. The tire-side device outputs a detection signal corresponding to a magnitude of vibration of the tire. The tire-side device generates road surface data indicative of a road surface state shown in a waveform of the detection signal. The tire-side device transmits the road surface data. The vehicle-body-side system receives the road surface data transmitted from the tire-side device. The vehicle-body-side system determines the road surface state of a road surface on which the vehicle is traveling based on the road surface data and learning data.

Abstract: A spraying support system for a working machine, includes: a support device including a plan creator portion to create a spraying plan representing a relation between field information relating to a field to which spray substance is sprayed and spraying information including spraying amount of the spray substance; a plan obtainer device provided to a working machine having a sprayer device to spray the spray substance and configured to obtain the spraying plan created by the plan creator portion; and a spraying controller device to control a sprayer portion of the sprayer device based on the spraying information of the spraying plan obtained by the plan obtainer device.

Abstract: A reflector arrangement for position determination and/or marking of target points, comprising a retroreflector and a first sensor arrangement, by means of which the orientation measurement radiation passing through the retroreflector is acquirable. The first sensor arrangement comprises a first optical assembly providing a fisheye lens, and a first sensor, wherein the retroreflector and the first sensor arrangement are arranged in such a way that orientation measurement radiation passing through the retroreflector is projectable onto the detection surface of the first sensor by means of the first optical assembly.