Abstract: Disclosed is a cabin system configured to acquire first information about a first user and second information about a second user through a communication device, to specify each of the first user and the second user based on image data received from an internal camera or an external camera, to provide a control signal to a display or a speaker such that content is provided to a user based on an electrical signal generated by an input device, to determine a first boarding seat of the first user among seats according to the first information and to determine a second boarding seat of the second user among the seats according to the second information, and to determine the posture of the first boarding seat according to the first information and to determine the posture of the second boarding seat according to the second information.

Abstract: Systems, methods, and non-transitory computer-readable media can receive sensor data providing information about an environment surrounding a vehicle to a first computing system and a second computing system associated with the vehicle, wherein the first computing system and the second computing system are each capable of generating navigation instructions for the vehicle based on the received sensor data. A first planned trajectory is determined based on the sensor data by the first computing system. The vehicle is navigated by the first computing system based on the first planned trajectory. Control of the vehicle is transitioned from the first computing system to the second computing system based on a failure associated with the first computing system. An emulated trajectory is determined based on data describing a current motion of the vehicle by the second computing system. The vehicle is navigated by the second computing system based on the emulated trajectory.

Abstract: A system for direct and indirect control of mixed-autonomy vehicles receives a traffic state of a group of mixed-autonomy vehicles traveling in the same direction, wherein the group of mixed-autonomy vehicles includes controlled vehicles willing to participate in a platoon formation and at least one uncontrolled vehicle, and wherein the traffic state is indicative of a state of each vehicle in the group, submit the traffic state into a parameterized function trained to transform the traffic state into target headways for the mixed-autonomy vehicles to produce the target headways, and submit the target headways to a headway-based model configured to map the target headways to target speeds of the mixed-autonomy vehicles to produce the target speeds. The system determines and transmits control commands to the controlled vehicle based on one or combination of the target headways and the target speeds.

Abstract: A steering control system includes: a deviation amount detection unit configured to detect a deviation amount of a car that travels on a track, from a reference traveling path of the car in a width direction of the track; a roll or lateral direction vibration amount detection unit configured to detect a roll or lateral direction vibration amount of the car; and a feedback control unit configured to perform feedback control of steering of the car so as to reduce the deviation amount and the roll or lateral direction vibration amount. The feedback control unit is configured to output a steering command value in which a specified frequency to be reduced is suppressed.

Abstract: A method and apparatus for displaying a virtual route estimates a position of a vehicle based on sensing data received asynchronously from sensors, and outputs a three-dimensional (3D) virtual route generated by registering a driving environment model corresponding to a driving environment of the vehicle and the position of the vehicle in map information.

Abstract: A vehicle control device includes a recognizer configured to recognize a surrounding situation of a host vehicle and a driving controller configured to control acceleration/deceleration and steering of the host vehicle on the basis of a recognition result of the recognizer, wherein the driving controller holds a target position selected from one or more target position candidates from a start time point according to a type of lane change to a point in time at which a prescribed condition is satisfied when the driving controller causes the host vehicle to make the lane change.

Abstract: Systems, methods, and non-transitory computer-readable media can receive data captured by one or more sensors associated with a vehicle. One or more objects in an environment of the vehicle can be identified based on the data captured by the one or more sensors. A position estimate of the vehicle can be generated within a known map based on one or more positional inferences pertaining to the vehicle, the one or more positional inferences pertaining to the vehicle being determined based on the one or more objects or features identified in the environment of the vehicle.

Abstract: An apparatus for controlling the driving assistance of a vehicle, a system including the same and a method for the same are provided. The apparatus for controlling the driving assistance of the vehicle includes a processor to adjust a driving assistance controlling setting value, based on at least one of whether a user looks ahead, whether the user performs a driving manipulation, and a driving condition during driving assistance of the vehicle, and a storage to store the driving assistance controlling setting value.

Abstract: A method for specifying switching parameters of a solenoid control valve in a braking system of a vehicle includes stipulating a test vehicle acceleration and ascertaining at least two test pulse sequences. The test pulse sequences are each ascertained on the basis of the stipulated test vehicle acceleration and on the basis of switching parameter default values for the respective solenoid control valve, and the test pulse sequences have actuation pulses and adjoining nonactuation pulses. During an actuation pulse an activation of the respective solenoid control valve and during a nonactuation pulse a deactivation of the respective solenoid control valve takes place. The method further includes actuating the respective solenoid control valve using the at least two test pulse sequences in order to cause at least two test braking operations, wherein the respective test pulse sequence causes an alteration of a braking pressure at a service brake.

Abstract: A device including microelectromechanical systems (MEMS) sensors is used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a sensor frame of the device with either the movement direction of the vehicle or the walking direction of a pedestrian using the MEMS sensors, the device can accurately calculate the location of a user of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of a pedestrian and a user riding in a vehicle without utilizing GPS/GNSS signals can be provided.

Abstract: Systems and methods for authenticating users to operate a vehicle are disclosed. The system can receive biometric data from a sensor on user equipment (UE) or a sensor installed in the vehicle. The system can also receive location data from the UE and the vehicle. The biometric data can be compared to stored biometric data for one or more authorized users. The location data of the UE and the location data of the vehicle can be compared to determine the proximity thereof. When the biometric data matches at least one biometric profile in the stored biometric data and the UE location data is within a predetermined distance of the vehicle location data, the user can be authenticated to operate the vehicle. The system can also detect risky driving behavior and assume control of the vehicle or report the behavior to authorities.

Abstract: A tipping avoidance system configured to modify operation of a collision avoidance system. The tipping avoidance system may include a payload determination system configured to generate a payload signal, and a load position determination system configured to generate a load position signal. The tipping avoidance system may also include a tipping avoidance controller configured to receive the payload signal and the load position signal, and determine, based at least in part on the payload signal and the load position signal, a minimum stopping distance at or above which the machine will not tip due at least in part to deceleration of the machine from a travel speed to a stopped condition. The tipping avoidance controller may be configured to communicate with a braking controller, such that the braking controller adjusts a stop triggering distance based at least in part on the minimum stopping distance.

Abstract: The preferred embodiments of the present invention are directed to methods and systems for dynamic route estimation and prediction using discrete sampled location updates from various mobile devices for the purpose of providing a graphical representation of a mobile device's route along a known network path of map data. The embodiments also provide supplemental route metrics, such as traveled distance, elapsed time, etc., and the capability to assign destination points for the purpose of providing the ability to modify location update points in an application, such as a route planner, and/or to store the dynamically generated route based on various preferences for later retrieval.

Abstract: A vehicle control device includes a detector configured to detect a surrounding object of a host vehicle, a generator configured to generate a first target trajectory on the basis of a shape of a traveling path in which the host vehicle travels, a first potential calculator configured to calculate a guiding potential which represents safety of traveling along the first target trajectory, a second potential calculator configured to calculate a surrounding potential which represents safety based on a surrounding object of the host vehicle, a third potential calculator configured to calculate a traveling potential, which represents safety when the host vehicle is moved in a direction intersecting a traveling direction of the host vehicle at each point included in an area in which the host vehicle will be traveling in the future based on the first target trajectory, on the basis of the guiding potential and the surrounding potential, and a traveling controller configured to perform traveling control of the host v

Abstract: The invention discloses a method for designing a three-dimensional trajectory of an unmanned aerial vehicle based on a wireless power transfer network. The method comprises the following steps: establishing a downlink channel model of the wireless power transfer network; establishing a mathematical model based on maximizing energy harvested by a user, comprising three-dimensional position deployment of an unmanned aerial vehicle, allocation of a charging time, and generation of an energy beam pattern; jointly optimizing on design and analysis of low-complexity iterative algorithms for three-dimensional position deployment of the unmanned aerial vehicle, the charging time and an energy beam; and using branch and bound method to design a three-dimensional flight trajectory of the unmanned aerial vehicle.

Abstract: A vehicle control device according to an embodiment includes a recognition unit configured to recognize a surrounding situation of a subject vehicle, a reception unit configured to receive an input of a set vehicle speed set by an occupant of the subject vehicle, and a driving control unit configured to control one or both of steering and acceleration or deceleration of the subject vehicle on the basis of the surrounding situation recognized by the recognition unit and the set vehicle speed received by the reception unit. In a case in which a plurality of traveling lanes on which the subject vehicle is able to travel in a progress direction of the subject vehicle are recognized by the recognition unit, the driving control unit determines a lane on which the subject vehicle travels among the plurality of traveling lanes on the basis of the set vehicle speed.

Abstract: Apparatus and methods for training a machine learning algorithm (MLA) to control a first aircraft in an environment that comprises the first aircraft and a second aircraft are described. Training of the MLA can include: the MLA determining a first-aircraft action for the first aircraft to take within the environment; sending the first-aircraft action from the MLA; after sending the first-aircraft action, receiving an observation of the environment and a reward signal at the MLA, the observation including information about the environment after the first aircraft has taken the first-aircraft action and the second aircraft has taken a second-aircraft action, the reward signal indicating a score of performance of the first-aircraft action based on dynamic and kinematic properties of the second aircraft; and updating the MLA based on the observation of the environment and the reward signal.

Abstract: The presently disclosed method and system exploits a received signal strength of a jamming signal emitted by a jammer to allow navigation of an object through an area containing the jamming signal. In one embodiment, the method comprises receiving a plurality of navigation data and a jamming signal when entering a jamming zone. The method then comprises repeatedly measuring the strength of the jamming signal while moving within the jamming zone. The method then comprises determining the location of the jammer based on the movement within the jamming zone and the strength of the jamming signal at multiple coordinates. The method further comprises performing movement to destination coordinates within the jamming zone at least partially based on the jammer location and the strength of the jamming signal.

Abstract: A method at a computing device for calculating a distance travelled, the method including receiving a plurality of discrete position fixes; determining a first distance travelled over the plurality of discrete position fixes by using a first calculation technique between successive discrete position fixes; determining a second distance travelled over the plurality of discrete position fixes by using a second calculation technique between successive discrete position fixes; applying a first weight to the first distance travelled and a second weight to the second distance travelled; and determining the distance travelled using a weighted average of the first distance travelled and the second distance travelled.

Abstract: The invention relates to a method for operating a driver assistance system of a motor vehicle, wherein the motor vehicle is initially operated in a piloted or fully autonomous driving mode by a driver assistance device. Piloting data is provided by a control device of the motor vehicle, which describes at least one operating parameter of a motor vehicle system of the motor vehicle or the surroundings of the motor vehicle, and are navigation data. It is checked whether a totality of the provided piloting data meets a piloting condition, which stipulates a minimum requirement for the totality of the provided piloting data for implementing the piloted or fully autonomous driving mode. Upon failure to meet the piloting condition, an abort of the driving mode is determined and a driving situation signal is generated, which describes the piloting data and this signal is transmitted to a communication unit of a motor vehicle-external server device.