Abstract: A method for monitoring a dual-stage, stroke activated, mixed fluid gas shock strut includes receiving, by a controller, primary chamber temperature and pressure sensor readings, secondary chamber pressure and temperature sensor readings, and a shock strut stroke sensor reading, calculating, by the controller, a compression factor, determining, by the controller, a plurality of compression factors for known oil volumes based on the primary chamber temperature sensor reading and/or the shock strut stroke sensor reading, and calculating, by the controller, an oil volume in a primary chamber of the shock strut, a number of moles of gas in the primary chamber of the shock strut, a volume of gas in a secondary chamber of the shock strut, and a number of moles of gas in the secondary chamber.

Abstract: A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and/or location data. The system receives data from multiple vehicles. The vehicle gateway device gathers vehicle metric data and correlates the metric data with location data. The system presents the correlated data in an interactive map graphical user interface.

Abstract: A method for monitoring a dual-stage, separated gas/fluid shock strut includes receiving, by a controller, primary chamber temperature and pressure sensor readings, secondary chamber pressure and temperature sensor readings, and a shock strut stroke sensor reading, determining, by the controller, a shock strut stroke at which a secondary chamber is activated, calculating, by the controller, a volume of oil in an oil chamber of the shock strut, a primary chamber gas volume of, a number of moles of gas in, and a volume of oil leaked into, a primary gas chamber of the shock strut, a secondary chamber gas volume in, a volume of oil leaked into, and a number of moles of gas in, the secondary chamber, based upon at least one of the secondary chamber pressure sensor reading, and the secondary chamber temperature sensor reading.

Abstract: A method for monitoring a dual-stage, separated gas/fluid shock strut includes receiving, by a controller, a primary chamber temperature sensor reading, a primary chamber pressure sensor reading, and a shock strut stroke sensor reading, calculating, by the controller, a secondary chamber nominal pressure based upon the primary chamber temperature sensor reading, determining, by the controller, a shock strut stroke associated with the secondary chamber nominal pressure, calculating, by the controller, a volume of oil in an oil chamber, a volume of gas in a primary gas chamber, a number of moles of gas in the primary gas chamber, a volume of oil leaked into the primary gas chamber, a volume of gas in a secondary chamber, and a number of moles of gas in the secondary chamber.

Abstract: A traffic information determination device includes a server configured to acquire driving environment information that may affect safety of traveling of a vehicle to be subjected to autonomous driving control, determine a first allowable area in which traveling of the vehicle is allowed, and in which traveling of the vehicle is not allowed when a person gets on the vehicle, based on the driving environment information, and determine a second allowable area in which traveling of the vehicle is allowed, and in which traveling of the vehicle is allowed even when the person gets on the vehicle, based on the driving environment information.

Abstract: A method for controlling a fuel cell vehicle is provided. The method includes setting a target purge degree of an anode gas and a target opening degree of an air pressure control valve and determining whether a fuel cell stack is in a power generation stop state. When the fuel cell stack is in the power generation stop state, when the anode gas is purged from the anode based on the target purge degree and the target opening degree, whether hydrogen in the anode gas will flow backwards to a stack enclosure is determined. When the hydrogen flows backwards, at least one of the target purge degree and the target opening degree to a level at which the backflow of the hydrogen is prevented is modified, and the anode gas from the anode based on the modified target purge degree and the modified target opening degree is purged.

Abstract: The technology relates to identifying sensor occlusions due to the limits of the ranges of a vehicle's sensors and using this information to maneuver the vehicle. As an example, the vehicle is maneuvered along a route that includes traveling on a first roadway and crossing over a lane of a second roadway. A trajectory is identified from the lane that will cross with the route during the crossing at a first point. A second point beyond a range of the vehicle's sensors is selected. The second point corresponds to a hypothetical vehicle moving towards the route along the lane. A distance between the first point and the second point is determined. An amount of time that it would take the hypothetical vehicle to travel the distance is determined and compared to a threshold amount of time. The vehicle is maneuvered based on the comparison to complete the crossing.

Abstract: It is an object of the present invention to suitably estimate a state of a vehicle. A vehicle state estimation section (1200) includes: a main computation section (1210) configured to carry out linear computation with respect to a state amount related to a state of a vehicle; and a tire model computation section (1240) configured to carry out nonlinear computation with direct or indirect reference to at least part of a result of the linear computation carried out by the main computation section (1210).

Abstract: Autonomous driving includes evaluating information about an environment surrounding a vehicle, generating, based on the evaluation of the information about the environment surrounding the vehicle, a driving plan for performing a driving maneuver, and operating vehicle systems in the vehicle to perform the driving maneuver according to the driving plan. The autonomous driving further includes receiving a traffic behavior model that describes a predominating driving behavior of a like population of reference vehicles. Under the driving plan, a driving behavior of the vehicle matches the predominating driving behavior of the like population of reference vehiclesAutonomous driving includes identifying a driving behavior of a vehicle based on an evaluation of information about manual operation of the vehicle and information about an environment surrounding the vehicle, and operating vehicle systems in the vehicle to perform a driving maneuver according to a driving plan for performing the driving maneuver.

Abstract: Autonomous driving includes identifying a traffic behavior of an object in an environment surrounding a vehicle based on an evaluation of information about the environment surrounding the vehicle while the vehicle is in the midst of manual operation, and operating vehicle systems in the vehicle to perform a driving maneuver according to a driving plan for performing the driving maneuver. The autonomous driving further includes receiving a traffic behavior model that describes a predominating traffic behavior of a like population of reference objects, and operating the vehicle systems to perform the driving maneuver according to the driving plan in response to identifying that the traffic behavior of the object does not match the predominating traffic behavior of the like population of reference objects. Under the driving plan, the traffic behavior of the object is addressed.

Abstract: Providing user assistance in a vehicle includes identifying a driving behavior of the vehicle based on an evaluation of information about manual operation of the vehicle and information about an environment surrounding the vehicle, and issuing an alert to a user prompting the user to implement corrective manual operation. The user assistance further includes receiving a traffic behavior model that describes a predominating driving behavior of a like population of reference vehicles, and issuing the alert to a user prompting the user to implement corrective manual operation in response to identifying that the driving behavior of the vehicle does not match the predominating driving behavior of the like population of reference vehicles. Under the corrective manual operation, the driving behavior of the vehicle matches the predominating driving behavior of the like population of reference vehicles.

Abstract: Providing user assistance in a vehicle includes identifying a traffic behavior of an object in an environment surrounding the vehicle based on an evaluation of information about the environment surrounding the vehicle while the vehicle is in the midst of manual operation, and issuing an alert to a user prompting the user to implement defensive manual operation. The user assistance further includes receiving a traffic behavior model that describes a predominating traffic behavior of a like population of reference objects, and issuing the alert to a user prompting the user to implement defensive manual operation in response to identifying that the traffic behavior of the object does not match the predominating traffic behavior of the like population of reference objects. Under the defensive manual operation, the traffic behavior of the object is addressed.

Abstract: The autonomous driving ECU includes a first communication unit that transmits and receives autonomous driving data to and from the plurality of data ECUs, and a vehicle control unit that controls a vehicle on the basis of the autonomous driving data transmitted from the plurality of data ECUs. Each data ECU includes a data construction unit that performs a construction of the autonomous driving data transmitted to the autonomous driving ECU, and a second communication unit that transmits and receives the autonomous driving data to and from the autonomous driving ECU. If a predetermined event occurs, among the data ECUs, the data construction unit of the data ECU in which the predetermined event occurs constructs the autonomous driving data so that a total amount of the autonomous driving data transmitted from the data ECU in which the predetermined event occurs is not greater than a predetermined amount of data.

Abstract: The present disclosure includes a system and a method for controlling a robot. The system may include a processor that performs the operations including receiving information, building a map, planning a route and generating control parameters; a movement module that executes control parameters to move around and hold sensors for sensing information; and a gimbal for holding sensors to sense information.

Abstract: An apparatus for determining a precise location including: a plurality of unmanned aerial vehicles each having a first broadband signal module and a global position system GPS receiver attached thereonto and flying in the air; and a terminal provided at a location and determining the location by communication with the first broadband signal modules. In addition, a method for determining a precise location including: respective GPS receivers receiving GPS signals from artificial satellites and detecting locations of each of the plurality of unmanned aerial vehicles, transmiting locations of the unmanned aerial vehicles and distances between the unmanned aerial vehicles and the terminal and determining a location of the terminal using information received from the first broadband signal modules.

Abstract: A drive recorder is disposed in a vehicle, and includes a situation information transmitter, a character information transmitter, and an updater. The situation information transmitter transmits situation information to a server upon determining that an acceleration of the vehicle is within a transmission determination range that is stored in a storage device, which is indicative that the acceleration of the vehicle is within the transmission detection range. The character information transmitter transmits character information indicative of a character of a driver of the vehicle regarding a drive operation which at least includes the acceleration of the vehicle. The updater (i) receives, from the server, a character reflection range regarding a range of the acceleration of the vehicle being set based on the character information and (ii) updates the transmission determination range stored in the storage device based on the received character reflection range.

Abstract: One or more techniques and/or systems are provided for slowdown detection. Location data received from vehicles traveling a road is evaluated to identify a road segment associated with vehicle speeds below a threshold. A space-time diagram is generated, and location data associated with vehicles traveling the road segment are plotted within the space-time diagram. The space-time diagram is processed using a convolutional neural network to determine a probability that the space-time diagram illustrates a slowdown. If the probability that the space-time diagram illustrates the slowdown is greater than a threshold, then a notification of the slowdown is transmitted to one or more computing devices associated with vehicles that may encounter the slowdown.

Abstract: A braking force control apparatus is provided which has an upstream braking actuator for generating an upstream pressure common to four wheels, a downstream braking actuator individually controlling braking pressure supplied to braking force generating devices of the wheels using the upstream pressure, and a control unit. When the downstream braking actuator is abnormal and the upstream pressure can be supplied to the braking force generating devices, but a braking pressure of any one of the wheels cannot be normally controlled, the control unit selects a control mode on the pressure increasing side out of the front wheel control modes, selects a control mode on the pressure increasing side out of the rear wheel control modes, selects a control mode on the pressure decreasing side out of the two selected control modes as a prescribed control mode, and controls the upstream pressure in the prescribed control mode.

Abstract: Disclosed is a control method. The control method of the present invention is a control method for controlling a vehicle using an agent module which outputs a dialogue-type response to an input speaking of an occupant, the method including: activating the agent module through a predetermined input; generating a first dialogue with the occupant through an activated voice input unit; maintaining the first dialogue in a temporary stored state for a preset period of time; and loading the first dialogue in the temporary stored state when a call command for the first dialogue is recognized, and generating a second dialogue when the call command for the first dialogue is recognized after elapse of the preset period of time.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for outputting obstacle information. A specific embodiment of the method comprises: determining a candidate direction information set of a target obstacle point cloud; determining, for each piece of candidate direction information in the candidate direction information set, a target value of the target obstacle point cloud in a direction indicated by the candidate direction information based on the target obstacle point cloud and a smallest circumscribing rectangle of the target obstacle point cloud in the direction indicated by the candidate direction information; defining candidate direction information having a minimum target value in the candidate direction information set as direction information corresponding to the target obstacle cloud point; and outputting the direction information corresponding to the target obstacle cloud point, thereby improving the abundance of content of outputted obstacle information.