Abstract: Methods and systems are disclosed herein for encouraging particular behavior while occupying vehicles. For example, by granting and restricting access to media and other user comfort devices based on whether or not a user is conforming to a predetermined rule set, the media guidance application may encourage a user to adhere to the rule set.

Abstract: An unmanned vehicle may include a vehicle body and a propulsion system carried by the vehicle body. The unmanned vehicle may also include a maneuvering system carried by the vehicle body and a vehicle control system carried by the vehicle body. The vehicle control system may control speed, orientation, or direction of travel of the unmanned vehicle. The unmanned vehicle may also include a mount point carried by the vehicle body. An interchangeable payload deck may be removably connected to a portion of the vehicle body via the at least one mount point. The unmanned vehicle may further include a power supply carried by the vehicle body.

Abstract: A safety monitor arranged to: receive a flight plan comprising a plurality of waypoints for an aircraft to follow on a flight mission; receive hazard data corresponding to one or more hazards; generate an aircraft occupancy region comprising a four-dimensional volume corresponding to a range of possible spatial and temporal coordinates for the aircraft along the flight plan; generate a hazard occupancy region comprising a four-dimensional volume corresponding to a range of possible spatial and temporal coordinates associated with the one or more hazards; and determine whether there is an overlap between the four-dimensional volume of the aircraft occupancy region and the hazard occupancy region.

Abstract: An electronic device may include a memory and at least one processor, wherein the at least one processor may be configured to acquire a current remaining battery level of a battery of a vehicle, information on at least one external electronic device operated by power provided from the battery, a current location of the vehicle, and a location of a destination to which the vehicle is to travel, determine the amount of power to be used while the vehicle travels to the destination, based on the information on the at least one external electronic device, the current location of the vehicle, and the location of the destination, and acquire information related to charging of the battery, based on the current remaining battery level and the determined amount of power.

Abstract: A flight planning system and method include one or more control units configured to determine, from ensemble data, a plurality of flight plans for an aircraft from a departure location to an arrival location. The ensemble data includes an aggregation of data from multiple data sources. In at least one example, the one or more control units are further configured to determine a preferred flight plan from the plurality of flight plans.

Abstract: A vehicle control system for energy efficient driving includes a processing circuitry configured to cause the vehicle control system to: determine that the vehicle is approaching a stop point; determine if the vehicle needs to stop at the stop point; determine the presence of at least a first other vehicle within a predefined distance behind the vehicle; and determine the intended route of the at least first other vehicle for determining if the vehicle is going to prepare at least a first energy saving action or not.

Abstract: A device and a method for controlling OTA update of a vehicle, to automatically set an optimal current consumption regardless of a vehicle model and an option for each vehicle model, includes a sensor configured for measuring a current consumption of a battery provided in the vehicle, and a controller that sets an initial current consumption to the vehicle, determines whether the OTA update is possible based on the initial current consumption and an expected over the air (OTA) update time, and determines an optimal current consumption based on the initial current consumption and an average current consumption during the OTA update.

Abstract: A driver assistance system include a camera mounted on a host vehicle and having an external field of view of the host vehicle and a controller configured to process image data captured by the camera. The controller may analyze the image data to determine whether a lane splitting vehicle approaching or close to the host vehicle is present and control a steering device of the host vehicle so that the host vehicle laterally moves away from a lane line close to the lane splitting vehicle when the lane splitting vehicle is present.

Abstract: A method can include generating analog signals from at least one pressure sensor mounted within a tire; by operation of analog-to-digital conversion (ADC) circuits of the pressure sensor, converting the analog signals into initial tire data; transmitting the initial tire data from the pressure sensor according to a first wireless communication protocol; receiving the initial tire data at a first intermediate device according to the first wireless standard, the intermediate device being disposed outside of the tire; and storing the initial tire data in the first intermediate device. By operation of the first intermediate device, relayed tire data configured for reception by a central tire monitoring system can be transmitted. The relayed tire data can correspond to the initial tire data. Corresponding devices and systems are also disclosed.

Abstract: A method and system for processing requests for vehicular data, including receiving a vehicle request for a vehicle parameter from a client system (e.g., third party application); verifying client access to the vehicle parameter; determining one or more parameter values for the requested vehicle parameter; and transmitting the one or more parameter values to the client system.

Abstract: A method for determining a value of at least one controller variable for guiding a mobile platform in at least semiautomated fashion is proposed. Images of surroundings of the mobile platform are determined using a plurality of two-dimensionally representing sensor systems. A multiplicity of objects are identified in the images. At least two object features for each of the multiplicity of objects are determined in order to determine the at least one controller variable. An input tensor is generated using the in each case at least two determined object features of the multiplicity of objects for a trained neural network. The value of the controller variable is estimated using the input tensor and the trained neural network.

Abstract: The present invention obtains a controller capable of suppressing worsening of comfort of an occupant in a vehicle when compared to the background art. The controller according to the present invention is a controller that is mounted to the vehicle and outputs a command signal corresponding to a damping coefficient of a shock absorber to an actuator that adjusts the damping coefficient of the shock absorber of a damping force adjustment type.

Abstract: A vehicle control device includes a drive source mounted on a vehicle, a differential device configured to distribute a driving force generated by the drive source to a right drive wheel and a left drive wheel, a speed sensor configured to detect a rotation speed of the drive source, a pair of wheel speed sensors configured to detect rotation speeds of the right drive wheel and the left drive wheel, and a control device configured to set an index value having a value obtained by multiplying the rotation speed of the drive source by a predetermined coefficient in a case that at least one of the pair of wheel speed sensors fails, and to control torque output from the drive source based on the index value.

Abstract: Systems and methods are provided for providing recommendations of safe driving routes that are tailored to the driving habits of particular drivers. A machine learning model (e.g., an artificial neural network) may be trained using data indicative of insurance claim severity, road conditions, and/or vehicle telematics data associated with vehicle-related incidents, such as vehicle collisions. The machine learning model may be trained to identify road types and conditions that are predictive of claim frequency and severity. Any given driving route(s) may be provided to the trained machine learning model, and a risk value may be computed for the route(s). By further applying a personalized driver profile to the calculations of risk, personalized risk values may be computed for the route(s), and a safest route may be recommended to a driver.

Abstract: A system for generating an environment for an operation using a set of assets includes processor(s) configured to obtain data associated with task(s) to be performed by a set of assets, wherein: 1) the set of assets comprises semi-autonomous drones and 2) the data associated with the task(s) comprises other drone flight plan(s); determine a discretized representation of the geographic location, wherein the discretized representation comprises discrete elements each corresponding to a volume associated with the geographic location; annotate the discretized representation with the other drone flight plan(s) to create an annotated representation; determine a first flight plan of one drone, wherein the first flight plan is determined based on the annotated representation; and communicate information pertaining to the first flight plan to at least one other asset.

Abstract: A vehicle can have a user profile securely deployed in it according to a security protocol. The vehicle can include a body, a powertrain, vehicle electronics, and a computing system. The computing system of the vehicle can be configured to: retrieve information from a user profile according to a security protocol. The computing system of the vehicle can also be configured to receive a request for at least a part of the retrieved information from the vehicle electronics and send a portion of the retrieved information to the vehicle electronics according to the request. The computing system of the vehicle can also be configured to propagate information sent from the vehicle electronics back into the user profile according to the security protocol. And, the computing system of the vehicle can also be configured to store in its memory, according to the security protocol, information sent from the vehicle electronics.

Abstract: A traction subsystem on a track vehicle has a first roller and a second roller. The first roller rotates either with an axle, or about an axle, and rotatably supports a track in opposition to a surface over which the track is traveling. A sensor is disposed relative to the first roller so that, as the first roller rotates, the sensor moves through a load bearing position in which the sensor is positioned between the axle and the track, bearing at least a portion of a load imposed by the track vehicle. The sensor illustratively senses pressure on the track, when in the load bearing position.

Abstract: A control device is installable in a mobile body movable based on a power outputted from each of a plurality of motor sections. The control device includes: a plurality of motor controllers configured to separately control the plurality of respective motor sections; and a plurality of monitoring sections configured to separately monitor presence or absence of an abnormality in the plurality of respective motor controllers. In response to either one of the plurality of monitoring sections detecting the abnormality in the motor controller, abnormal one of the motor controllers is caused to stop controlling the motor section while the normal one of the motor controllers where no abnormality is detected is caused to continue to control the motor section.

Abstract: A method can be used to provide smart notifications to avoid collisions while the vehicle maneuvers in a tight structural environment, such as a home garage or an underground parking lot. The method includes receiving historical vehicle-trajectory data. The historical vehicle-trajectory data includes the location and the heading of the vehicle for each of the plurality of historical trajectories along the structure. The method further includes clustering the plurality of historical trajectories of the vehicle along the structure by types of maneuvers to generate a plurality of trajectory clusters. The method also includes creating a probability distribution bitmap using the plurality of trajectory clusters and creating a topographic map based on the probability distribution bitmap.

Abstract: A surrounding environment recognition device recognizes a surrounding environment around a vehicle. A traveling control unit centrally controls a whole of the entire vehicle. An obstacle presumer presumes presence of an obstacle ahead of the vehicle based on a behavior distribution of preceding vehicles recognized by the surrounding environment recognition device, and estimates a position and an area where the obstacle is present when the presence of the obstacle is presumed. A traveling path calculator calculates candidates for traveling path areas along which the vehicle is expected to travel while avoiding collision with the presumed obstacle. A traveling path selector selects a traveling path area from among the calculated traveling path areas and sets the selected traveling path area. The traveling control unit controls the vehicle to travel along the set traveling path area.