Abstract: A hybrid vehicle includes a motor serving as a drive source, a battery configured to supply electric power to the motor, and an engine capable of supplying electric power to the battery by driving a generator. In the hybrid vehicle, the engine is operated when a magnitude of background noise exceeds a noise threshold value, in a case where an operation parameter for operating the engine when a value of the operation parameter falls below a forced operating threshold value is larger than the forced operating threshold value, the operation parameter being a parameter whose value increases as an operation time of the engine increases.

Abstract: According to one embodiment, a data processing device is configured to process data related to a mobile body. The mobile body moves by autonomously traveling over a traveling surface. The data processing device is further configured to calculate a first error occurring in a first movement from a first position to a transit position. The first movement includes a translational motion and a turning motion. The data processing device is further configured to predict, based on the first error, a second error occurring in a second movement from the transit position to a second position. The second movement includes a turning motion. The data processing device is further configured to correct a movement amount of the mobile body in the second movement by using the first and second errors.

Abstract: A method for optimizing autonomous driving includes applying different autonomous driving parameters to a plurality of robot agents in a simulation through an automatic setting by the system or a direct setting by a manager, so that the robot agents learn robot autonomous driving; and optimizing the autonomous driving parameters by using preference data for the autonomous driving parameters.

Abstract: A vehicle parallel diagnosis method and apparatus, a coordinator, a system, and a medium, relating to the technical field of vehicle diagnosis, are disclosed. The method includes: receiving a diagnostic request message transmitted by a random client; detecting a current diagnostic state of a diagnostic server after the diagnostic request message is received, the current diagnostic state including a completed state and an uncompleted state; and forwarding, when the current diagnostic state is the completed state, the diagnostic request message to the diagnostic server via a target routing controller, otherwise controlling the random client to retransmit the diagnostic request message after a target delay duration until the diagnostic server is in the completed state, and forwarding the diagnostic request message to the diagnostic server via the target routing controller so as to process the diagnostic request message.

Abstract: A vehicle development support system includes a frame body equipped with electronic control units installed in a vehicle, a real-time simulator that calculates physical state amounts for operating in-vehicle devices controlled by the electronic control units using control signals for the electronic control units and simulate operations of the in-vehicle devices and a behavior of the vehicle caused by the operations, and a synchronizer that synchronizes communication in which the electronic control units receive outputs from the real-time simulator with communication in which the real-time simulator receives the control signals for the electronic control units. The real-time simulator includes an external information acquisition interface that acquires, as external information, driving information obtained by driving a vehicle in a real space.

Abstract: A method for improving the availability of an energy storage or transformation, EST, system of a vehicle is described. The method comprises transferring the EST condition data from the first electronic unit by means of a second data transfer mode, receiving a fault or error regarding the EST condition data in relation to the first data transfer mode, determining whether or not an EST system criterium is achieved, the EST system criterium comprising at least that the EST condition data transferred by the first electronic unit by means of the second data transfer mode is received by the second electronic unit, in response of achieving the EST system criterium, operating the EST system despite the fault or error and using the EST condition data transferred by means of the second data transfer mode.

Abstract: A method includes obtaining, from sensor data, map data of a geographic region and multiple trajectories of multiple agents located in the geographic region. The agents and the map data have a corresponding physical location in the geographic region. The method further includes determining, for an agent, an agent route from a trajectory that corresponds to the agent, generating, by an encoder model, an interaction encoding that encodes the trajectories and the map data, and generating, from the interaction encoding, an agent attribute encoding of the agent and the agent route. The method further includes processing the agent attribute encoding to generate positional information for the agent, and updating the trajectory of the agent using the positional information to obtain an updated trajectory.

Abstract: An approach is disclosed for verifying a lane closure using probe data. The approach involves, for example, receiving probe data collected from a probe device traveling a road link. The approach also involves performing a spatial clustering of the probe data with respect to a longitudinal axis of the road link. The approach further involves comparing the spatial clustering of the probe data to a historical spatial clustering of historical probe data of the road link to determine a cluster shift, wherein the cluster shift indicates that a cluster of the spatial clustering has shifted spatially to the left or right relative to at least one other cluster of the historical clustering. The approach also involves detecting a lane closure on the road link based on determining that the cluster shift is greater than a shift distance threshold. The approach further involves providing the detected lane closure as an output.

Abstract: A processing load of a server configured to manage a remote support or data traffic per unit time in sending/receiving between a target mobile vehicle of the remote support and the server is calculated. Positional information of a current location and a destination of the target mobile vehicle and map information containing the current location and the destination are obtained. When the processing load is equal to or greater than an upper limit load or when the data traffic per unit time is equal to or greater than an upper limit amount, a proposal is made to the target mobile vehicle for an avoidance route for avoiding an occurrence of the remote support based on the positional information and the map information.

Abstract: Disclosed are methods, systems, and one or more computer-readable mediums for providing, by an integrated flight deck (IFD) networked computing system, data acquisition for generating a plurality of inflight operation insights, the IFD networked computing system comprising: a presentation platform, a plurality of framework components, a software development kit (SDK) framework, and one or more user interface libraries configured to develop a plurality of applications from the presentation platform and add one or more additional SDKs and/or libraries to the presentation platform; aggregating, by an orchestrator of the SDK framework, a plurality of data sources to fuse data from the plurality of data sources and create a data packet comprising real-time flight data; generating, the plurality of inflight operation insights by analyzing a plurality of key performance indicators of the created data packet; and assessing a flight parameter based on the generated inflight operation insights.

Abstract: A method of a route prediction system utilizing real-time mobile communication network data. The method includes receiving a route request originating from a connected vehicle, the route request identifying a route, determining segments for the route, localizing mobile communication network resources to the segments, determining key performance indicators for the segments based on at least a current offline model, and sending predicted service level indicators (SLIs) for the segments to the connected vehicle.

Abstract: A control method for an autonomous operation device includes determining a specified schedule according to a user instruction, and determining a planned schedule according to at least one working area parameter; and comparing the total operation time corresponding to the planned schedule with the total operation time corresponding to the specified schedule. If the total operation time corresponding to the planned schedule is less than the total operation time corresponding to the specified schedule, an operation schedule is determined according to the planned schedule. If the total operation time corresponding to the planned schedule is greater than the total operation time corresponding to the specified schedule, an operation is determined schedule according to the specified schedule.

Abstract: Methods and systems for controlling an asset tracking device and, in particular, determining when an asset tracking device is aboard a ship. The device may have a ship mode in which the device determines it has been loaded onto a ship and in which geolocation is not determined. The device may further have an ocean mode to which it transitions from the ship mode in which it ceases to look for a cellular connection in order to send location reports. The device may detect a beacon signal from a ship-mounted base-station to trigger the ship mode and may detect, or fail to detect, one or more wireless signals or identifiers as the trigger to transition to ocean mode.

Abstract: A warning device includes: a right turn determining part that determines that a vehicle will turn right if a turn signal thereof is in a right turn signal state, and vehicle speed thereof is equal to or less than creep speed; an oncoming vehicle approach determining part that determines that another vehicle is approaching the vehicle as an oncoming vehicle if the vehicle will turn right, a vector indicating a travel direction of the vehicle and a vector indicating a travel direction of the other vehicle intersect with each other, and a position of the other vehicle is included in a predetermined angle range in front of the vehicle; and an output control part that causes a warning to be output if the other vehicle is approaching the vehicle, and a yaw rate of the vehicle is equal to or greater than a predetermined angular velocity.

Abstract: An object recognition device includes a first sensor that acquires an image of an object present outside a movable body, a second sensor that detects a distance to the object, and a recognition unit that recognizes a position of the object with respect to the movable body and a shape of the object at the position by using outputs from the first sensor and the second sensor. If determining that the object is a first type object having a size equal to or more than a predetermined size, the recognition unit determines an actual shape of the object based on an image of the object acquired by the first sensor and the distance detected by the second sensor, and recognizes that the object is present as the actual shape at a position distanced from the movable body by the distance.

Abstract: An embodiment autonomous driving control apparatus includes a memory storing data and algorithms and a processor configured to execute the algorithms stored in the memory to estimate an end of an operational design domain of an autonomous driving function in advance and to calculate a distance from an end point of the operational design domain to a start point of a transition demand, wherein the transition demand is a point at which a transition demand section starts based on a current speed of a vehicle depending on a driving strategy of the transition demand section for requiring a driver to drive the vehicle and a minimum risk maneuver section.

Abstract: An event driven detection model is disclosed. A model operates at a node to identify relevant video data from video streams generated by cameras. Video data that is not relevant is discarded. An objectness score is generated for the relevant video data. The objectness score and position data from position sensors is used to infer an event. When an event is inferred by the model, a decision may be made and performed.

Abstract: A map is stored in a robot that has a travelling unit, wherein the map is represented by a grid having a plurality of parcels, and a data set is assigned to each parcel such that the grid is represented by a plurality of data sets, each data set assigned to each parcel includes a characteristic value representing a characteristic of the parcel, and a grid value representing a shape of the parcel.

Abstract: A method is provided for optimizing a flight of an aircraft with at least one segment of formation flight. The method includes accessing flight plans for flights of a fleet, and transforming the flight plans into values of a set of features that describe segments of the flights. The values are applied to a machine learning model trained to predict the segment(s) during which the aircraft is within a region that includes at least one second aircraft of the fleet that is thereby capable of serving as a leading aircraft in the segment(s) of formation flight in which the aircraft is a trailing aircraft. A notification is sent to the aircraft of the segment(s) and the second aircraft capable of serving as the leading aircraft. And a second notification is sent to the second aircraft of the segment(s) and the aircraft capable of serving as the trailing aircraft.

Abstract: Techniques are described herein for determining simulated vehicle positional errors and correlating the positional errors with vehicle features. Such techniques may include receiving log data comprising trajectories and position data for a real vehicle, and executing a log-based simulated vehicle based on the log data. A simulated vehicle may be controlled to follow a simulation trajectory in a simulated environment based on the trajectory of the real vehicle. A simulation system may determine a difference between the positions of the simulated vehicle and corresponding positions of the real vehicle in the real environment. The techniques may further include determining a vehicle state features correlated to the lateral and/or longitudinal position errors of the simulated vehicle, and determining, based on the vehicle state features, position error distributions and/or models that can be used to control subsequent driving simulations.