Abstract: Apparatuses, systems, methods, and computer program products for machine learning traffic determination. A method includes receiving an image of vehicular traffic taken by an image sensor. A method includes receiving environmental data from a plurality of environmental sensors. A method includes determining a history of vehicular traffic in a geographic area associated with an image sensor. A method includes processing an image of vehicular traffic, environmental data, and a history of vehicular traffic using one or more machine learning models to predict a traffic level and a pollution level for a geographic area. A method includes communicating one or more of a predicted traffic level and a predicted pollution level to a user on an electronic display screen of a hardware computing device.

Abstract: A vehicular apparatus operates a plurality of operating systems concurrently on a single hardware module. Each operating system is operated based on a corresponding own clock function holding a time. The vehicular apparatus is provided with a synchronization unit for synchronizing the times of the respective operating systems by issuing, to each operating system, a notification indicating a change in the time made in one operating system.

Abstract: Systems and methods for using augmented reality technology to provide on-site service center personnel with enhanced safety. In particular, augmented reality technology can be used to display autonomous vehicle driving paths to service center personnel. Additionally, systems and methods are provided for using augmented reality technology to improve efficiency of autonomous vehicle service centers and operating facilities. For example, augmented reality technology can be used to communicate services for respective autonomous vehicles to service center personnel. Augmented reality technology can be presented to users via augmented reality glasses.

Abstract: A method for avoiding a collision between an autonomous mobile apparatus and a stationary or moving object initially deemed to be a collision threat includes acquiring a passage clearance of the object, from the point of view of the autonomous mobile apparatus, by establishing in two dimensions the nearest and the furthest physical parts of the object in the planned path of the autonomous mobile apparatus. Dimensions between the current position of the autonomous mobile apparatus and the at least two boundaries are computed as relative distances, and are considered as avoidance distances when the relative distances are greater than the passage clearance. For only one avoidance distance, a target boundary for clearance with safety is set based on the avoidance distance. The autonomous mobile apparatus moves along a specified direction to aim at the target boundary. An autonomous mobile apparatus applying the method is also disclosed.

Abstract: A system and method for creating a parking database and providing parking suggestions to the driver. The system and method includes receiving parking data from a plurality of vehicles in a fleet of vehicles, creating a parking database based upon the parking data, wherein the parking database comprises a plurality of curated parking locations determined by analyzing the parking data, generating a plurality of parking clusters based upon the parking database, wherein each of the plurality of parking clusters comprises a plurality of parking locations selected from the plurality of curated parking locations in the parking database, and identifying at least one of the plurality of parking clusters as a parking suggestion for a driver based upon a determined break location for the driver.

Abstract: An evaluation system for a work machine includes a work implement, a support unit for the work implement, a cylinder that causes the work implement to move with respect to the support unit, and an evaluation unit that evaluates a degree of fatigue of the support unit based on an axial force of the cylinder.

Abstract: A method, system and product for implementing user-based ethical decision making in autonomous vehicles. The system includes an ethical investigator that presents an ethical questioner to an entity and collects the entity's responses. An ethical synthesizer synthesizes an ethical preference of the entity based on the collected responses. An ethical determinator selects an action from a plurality of potential actions based on an ethical preference of a controlling entity of a self-driving vehicle at a time the selection is made. The system is configured to cause the self-driving vehicle to perform the action selected by said ethical determinator automatically and without relying on user input.

Abstract: Remote-control units used for docking a marine vessel include both a radio transceiver for communicating with a helm receiver to which control signals for the various vessel systems can be sent, and a WiFi transceiver that can be used to remotely access and adjust the operational profiles stored in the remote control unit. Each of the profiles causes the remote control unit to control one or more vessel systems by ramping up their output over an initial time duration to a maximum profile setting which is a proportion of the maximum output capability of the vessel system.

Abstract: Methods and apparatus to guide an unmanned aerial vehicle for recovery thereof are disclosed. A disclosed example apparatus includes a sensor at or proximate a tether line, the sensor to measure at least one parameter of an aircraft while the aircraft is in flight and provide sensor output corresponding to a position of the aircraft, and a transceiver to transmit data corresponding to the position to the aircraft for guiding the aircraft to engage the tether line for recovery of the aircraft or a payload carried by the aircraft.

Abstract: An intelligent decision-making method and system for an unmanned surface vehicle are provided. The system comprises: an image acquisition module, configured to acquire an image sequence signal of an observation region; a target detection and recognition module, configured to receive the image sequence signal, recognize a preset interested target appeared in a scenario, determine and identify an image region occupied by the preset interested target; distinguish a type of the interested target, screen out the target that causes a threat to an unmanned platform itself according to the type of the target, continuously observe the target, and generate tracking trajectory information of the target; a target situation distinguishing module, configured to calculate a target threat factor; and a target threat evaluation and decision module, configured to evaluate a threat type, give a threat level, and lock the interested target with a high threat level for tracking in real time.

Abstract: An information map is obtained by an agricultural system. The information map maps values of a topographic characteristic to different geographic locations in a field. An in-situ sensor detects values of an environmental characteristic as an agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts the environmental characteristic at different locations in the field based on a relationship between the values of the topographic characteristic and the values of the environmental characteristic detected by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Aspects described herein may facilitate an automated trade-in of a vehicle with limited human interaction. A server may receive a request to begin a value determination of a vehicle associated with the user. The server may receive first data comprising: vehicle-specific identifying information, and multimedia content showing a first aspect of the vehicle. The user may be directed to place the vehicle within a predetermined staging area. The server may receive, from one or more image sensors associated with the staging area, second data comprising multimedia content showing a second aspect of the vehicle. The server may create a feature vector comprising the first data and the second data. The feature vector may be inputted into a machine learning algorithm corresponding to the vehicle-specific identifying information of the vehicle. Based on the machine learning algorithm, the server may determine a value of the vehicle.

Abstract: A trailer door system that comprises at least one trailer door assembly operably engaged with the trailer; and at least one driving assembly operably engaged with the trailer and the at least one trailer door assembly. The at least one driving assembly further comprises an expansion assembly operably engaged with the at least one trailer door assembly. The at least one driving assembly further comprises a rotary actuator operably engaged with the expansion assembly, wherein the rotary actuator is configured to transition the expansion assembly between a collapsed position and an expanded position for pivoting the at least one trailer door assembly between a closed position and an opened position about an axis parallel to a vertical axis defined by the trailer. A trailer monitoring system may be included with the trailer door system for automating the state of the trailer during a towing operation.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an intended maneuver message for a maneuver of a vehicle associated with the UE, wherein the intended maneuver message identifies one or more target road resources associated with the maneuver, receive, from one or more other UEs, one or more responses to the intended maneuver message, and perform an action based at least in part on receiving the one or more responses to the intended maneuver message. Numerous other aspects are provided.

Abstract: A device includes a processor configured to: issue an alarm when a movement path condition is met and a prohibition condition is not met, the movement path condition being met when an approaching object of which a predicted movement path is a path along which the object passes by a door of the host vehicle is present; and not issue the alarm when the prohibition condition is met, even when the movement path condition is met, wherein the prohibition condition includes a condition to be met when a difference between a distance in a transverse direction from the host vehicle to a stationary object and a distance in the transverse direction from the host vehicle to the approaching object is equal to or less than a predetermined value in a case where the stationary object is present, the stationary object being stationary at a side of the host vehicle.

Abstract: Mobile device includes a frame with displacement means, a working arm connected to the frame including at least a first and a second articulation which are hinged to each other. The working arm is hinged to the frame, and at least a first, second and third control devices are adapted for moving the first and second articulation of the working arm and a tool, respectively, at a free end of the second articulation. A control system is adapted for controlling the first, second and third control means. The control system is adapted to drive the first, second and third control means such that the free end of the second articulation follows a predetermined upward movement along an upwardly directed path and the tool remains in a lifting position, the first, second and third control means are simultaneously controlled.

Abstract: An information processing method causes a computer to execute acquiring a first delivery schedule generated based on a plurality of first destinations and a moving unit for providing delivery or service based on the first destinations, acquiring an attribute of the moving unit, acquiring a plurality of second destinations obtained from a revision in the first destinations after generating of the first delivery schedule, determining a fixed part regarding a destination that is not allowed to be changed on the first delivery schedule of the moving unit, in accordance with the attribute of the moving unit, and generating a second delivery schedule in accordance with the moving unit and the second destinations, without changing the fixed part.

Abstract: A load prediction method for a component of a vehicle includes a model creation process. A load model is created using an identification method based on a training-drive data group, a training vehicle data group and a training load group. The training-drive data group contains training-drive data sets, each containing route data and/or accompanying drive data for a training drive of a training vehicle on a training route. The training vehicle data group comprises vehicle data from the training vehicle used on the training drive. The training load group includes training load data including a load of the component that corresponds to a training-drive data set. The load model approximates the occurring load on a predetermined training route or with predetermined accompanying drive data or according to predetermined vehicle data. In a model evaluation process, the load prediction is determined using the load model.

Abstract: A cloud service receives locations of priority vehicles (PVs) and non-priority vehicles in a metropolitan area. The cloud service accesses a database storing indicia of restricted road portions in the metropolitan area. The cloud service allocates restricted road portions from the database to the NPVs based on the locations of the PVs, the locations of the NPVs, and locations of the restricted road portions. The allocating includes preventing some of the restricted road portions in the database from being available to be allocated to the NPVs based on determining, according to the locations of the PVs and NPVs and according to pre-stored routes of the PVs, that estimated uses of the road portions by the NPVs would conflict with estimated uses of the road portions by the PVs as they travel along the pre-stored routes. Routes generated to include the respectively allocated road portions are provided to the NPVs.

Abstract: A method for determining a trajectory of a motor vehicle for a driver assistance function includes: determining an initial trajectory of the motor vehicle on a road; setting an upper threshold for the lateral acceleration of the motor vehicle; detecting data of the road surface in the direction of travel ahead of the motor vehicle with at least one sensor; determining the vertical profile of the road surface of a plurality of paths running parallel to each other in the direction of travel ahead of the motor vehicle by using the data; determining, when the vertical profile of at least one of the paths indicates a pothole, a lateral deviation from the initial trajectory for which a limit value does not exceed the set upper threshold for the lateral acceleration, wherein the road boundary is not exceeded; and outputting an adjusted trajectory by using the determined lateral deviation.