Abstract: A method, a computer program, an apparatus, a transportation vehicle, and a network component for controlling a maneuver within a platoon of transportation vehicles. The method for controlling a maneuver within a platoon of transportation vehicles includes receiving information related to a maneuver for the platoon; determining information on a fuel efficiency of the maneuver based on fuel consumptions for maneuvering from an initial state to a maneuver target state, keeping the maneuver target state, and reverting from the maneuver target state to the initial state; and deciding whether to perform the maneuver based on the information on the fuel efficiency.

Abstract: Described are navigational systems for vehicles including modular, field-swappable and field-configurable components and a plurality of operational modes.

Abstract: A method of operating a vehicle includes a vehicle controller receiving a driver acceleration/deceleration command for the vehicle's powertrain and determining a torque request corresponding to the driver's acceleration command. The controller shapes the torque request and determines compensated and uncompensated accelerations from the shaped torque request. The compensated acceleration is based on an estimated road grade and an estimated vehicle mass, whereas the uncompensated acceleration is based on a zero road grade and a nominal vehicle mass. A final speed horizon profile is calculated as: a speed-control speed profile based on the uncompensated acceleration if the vehicle's speed is below a preset low vehicle speed; or a torque-control speed profile based on a blend of the compensated and uncompensated accelerations if the vehicle speed exceeds the preset low vehicle speed. The controller commands the powertrain to output a requested axle torque based on the final speed horizon profile.

Abstract: A control device includes a torque controller configured to control a torque of a motor that outputs a driving force for traveling of a vehicle, a first vehicle speed acquirer configured to acquire a first vehicle speed based on a speed of wheels of the vehicle, and a second vehicle speed acquirer configured to acquire a second vehicle speed based on a torque output by the motor, in which the torque controller determines a torque of the motor on the basis of either or both of the first vehicle speed and the second vehicle speed.

Abstract: A vehicle control data generation method is provided. A self-driving mode of a vehicle automatically generates a command value of a propelling force produced by a propelling force generator independently of an accelerator operation. An execution device provides a greater reward based on an obtained state of the vehicle when a standard of a characteristic of the vehicle is met than when the standard is not met. Providing the reward changes a reward that is provided when the characteristic of the vehicle is a predetermined characteristic in the self-driving mode such that the changed reward differs from a reward that is provided when the characteristic of the vehicle is the predetermined characteristic in a manual driving mode.

Abstract: An autonomous driving control apparatus for a vehicle includes: a processor that determines whether a current driving condition of the vehicle is a limit situation during an autonomous driving control, performs a demand for control authority transition to a user during the autonomous driving control when the current driving condition is the limit situation, and starts a minimum risk maneuver to transmit a signal for disabling reactivation of the autonomous driving control when control authority is not transferred to the user; and a storage to store a set of instructions and driving condition data to be used by the processor. In particular, the processor demands for engagement of an electronic parking brake device when the vehicle is stopped after the minimum risk maneuver ends.

Abstract: A method of controlling an electric motor to optimize system efficiency of an electric motor operable in a pulsed mode and a continuous mode is disclosed herein. The method includes receiving a requested torque for the electric motor, calculating a pulsed system efficiency, calculating a continuous system efficiency, and operating the electric motor in the pulsed mode when the pulsed system efficiency is greater than the continuous system efficiency. The pulsed system efficiency is calculated for delivering the requested torque from the electric motor in a plurality of torque pulses greater than the requested torque. The continuous system efficiency is calculated for delivering the requested torque from the electric motor as a continuous torque. The system efficiency may be at least partially based on a battery efficiency and a motor efficiency.

Abstract: An operation schedule changer can execute, as a schedule change process for changing a normal operation schedule, an advancing change process, a delay change process, and a cut-in change process. The schedule changer executes one of the advancing change process, the delay change process, or the cut-in change process based on a boarding demand.

Abstract: A light detection and ranging (LIDAR) device scans through a scanning zone while emitting light pulses and receives reflected signals corresponding to the light pulses. The LIDAR device scans the emitted light pulses through the scanning zone by reflecting the light pulses from an array of oscillating mirrors. The mirrors are operated by a set of electromagnets arranged to apply torque on the mirrors, and an orientation feedback system senses the orientations of the mirrors. Driving parameters for each mirror are determined based on information from the orientation feedback system. The driving parameters can be used to drive the mirrors in phase at an operating frequency despite variations in moments of inertia and resonant frequencies among the mirrors.

Abstract: Disclosed is a method of path optimization for an unmanned aerial vehicle (UAV). In the method, users and the positions of the users are obtained; the users are divided into K wireless multicast user groups; K initial hovering positions corresponding to the K wireless multicast user groups are determined; and a first shortest flying path connecting the K initial hovering positions is determined; and the initial hovering positions of the UAV are optimized to obtain K final hovering positions and a final flying path. The present disclosure also discloses a device of path optimization for a UAV and a computer readable storage medium.

Abstract: The disclosure relates to training models for identification of events likely to cause discomfort to passengers of autonomous vehicles and for assessment of overall ride quality of autonomous vehicle rides. For instance, ride data may be associated with a ride quality value indicative of a level of discomfort and/or a first overall ride quality value indicating an overall ride quality provided by the passenger for the first ride. This ride data may be used to train a model such that the model is configured to, in response to receiving ride data for a second ride as input, output a list of events likely to cause discomfort to a passenger during the second ride and/or such that the model is configured to, in response to receiving second ride data for a second ride as input, output a second overall ride quality value for the second ride.

Abstract: An information processing apparatus includes: a memory configured to store information about mobile bodies, each of which forms a vehicle by being coupled with a main body unit and is capable of autonomous driving; and a processor configured to transmit a summon command to a first mobile body existing within a predetermined range, the summon command summoning the first mobile body to a predetermined assembly location, and cause a predetermined number of first mobile bodies assembled at the predetermined assembly location to carry one first main body unit that is larger or heavier than a main body unit that can be carried by one first mobile body, and to cause the predetermined number of first mobile bodies to move to a predetermined destination.

Abstract: A method for operating a vehicle, in particular, a vehicle for highly automated driving. The method includes a step of reading in input data. The input data include sensor data and sensor state data of a multitude of sensor units of vehicle. The method also includes a step of generating a potential field, using the input data. The input data are used as attractive potentials and repulsive potentials of the potential field. The method furthermore includes a step of determining a trajectory through the potential field in order to generate a fusion signal, using the trajectory, for fusing the input data for a sensor data fusion for a highly automated driving operation of the vehicle.

Abstract: A server is communicably connected to a plurality of vehicles that includes vehicles usable as guest rooms, and includes a server controller. The server controller is configured to control a formation of the plurality of vehicles depending on a positional relationship between windows or doors provided in the plurality of vehicles, or depending on scenery from the windows provided in the plurality of vehicles.

Abstract: In one embodiment, a speed planning system receives speed limit information for an autonomous driving vehicle (ADV), where the speed limit information includes a change in road speed limit for a current road of the ADV. The system determines a tapered speed limit corresponding to the current road based on the speed limit information, where the tapered speed limit correspond to a gradual speed reduction from a first road speed limit to a second road speed limit. The system determines a cost function based on the tapered speed limit and the first and second road speed limits. The system generates a number of trajectory candidates based on the cost function. The system selects a trajectory based on the trajectory candidates to control the ADV using the selected trajectory.

Abstract: To determine whether a driver's state is suitable state for driving. A vehicle-mounted device 10 includes: a traveling support control unit 30 that senses that the driver is provided with guidance regarding the driving operation; a line-of-sight detection unit 32 that detects the direction of a driver's line-of-sight; a condition determination unit 33 that determines whether a gaze condition is satisfied, the gaze condition including: that, with respect to a preset gaze direction, the driver's line-of-sight faces the gaze direction until a first reference time elapses from when guidance is sensed; and that time during which the driver's line-of-sight faces the gaze direction is equal to or longer than a second reference time; and a driver state determination unit 34 that determines whether the driver is in a state of being able to drive based on the determination result of the condition determination unit 33.

Abstract: An information processing apparatus for guarding at least one vehicle includes a controller. The controller is configured to acquire vehicle information including class information for a class to be held in the at least one vehicle and travel information for the at least one vehicle, determine hazard information attributable to holding of the class based on the acquired vehicle information, and determine security information for guarding the at least one vehicle based on the determined hazard information.

Abstract: An automatic driving proposal device or an automatic driving proposal method is used for a vehicle that selects either a state of an automatic driving or a state of a manual driving by an occupant. The automatic driving proposal device or the automatic driving proposal method performs a driving change request to the occupant in the state of the automatic driving, determines whether the automatic driving is possible in the state of the manual driving, calculates a calculation value corresponding to a distance or a prediction time or calculates a change index, and proposes the automatic driving to the occupant on a necessary condition of determining that the automatic driving is possible and also determining that the calculation value is higher than a threshold value or determining that the change index is lower than a threshold value.

Abstract: A vehicle control system uses reliability of an input signal of an autonomous vehicle to safely travel through an intersection or a crossroad. The system includes a first calculating unit that calculates reliability for behavior information of a front vehicle and a second calculating unit calculates reliability for state information of a traffic light in the crossroad or the intersection based on a surrounding vehicle. A third calculating unit calculates reliability for brake light information of the front vehicle and a fourth calculating unit calculates reliability for flow information of the surrounding vehicle passing the crossroad or the intersection. A determining unit generates a vehicle control signal according to the calculated reliability.

Abstract: Methods and systems for controlling an autonomous vehicle. The method includes receiving sensor data from a plurality of sensors, determining, a plurality of probability hypotheses based upon the sensor data, and receiving metadata from at least one sensor of the plurality of sensors. An integrity level of at least one of the plurality of probability hypotheses is determined based upon the received metadata and at least one action is determined based upon the determined integrity level and at least one probability hypothesis of the plurality of probability hypotheses. The at least one action is then initiated by an electronic controller for the vehicle.