In a vehicle control device, a reference route generator obtains point-series information including information on sets of coordinates through which a subject vehicle needs to travel, and approximates, by polynomials each being a function of a route length from a preset reference point, a longitudinal position and a lateral position of the subject vehicle based on the sets of coordinates to generate a reference route represented by the polynomials. A planned traveling distance computing unit calculates a planned traveling distance being a distance that the subject vehicle needs to travel in a unit time of a predefined length. A target value computing unit calculates a target position being a target value of a position of the subject vehicle after the unit time, based on the polynomials of the longitudinal position and the lateral position of the subject vehicle, and the planned traveling distance.

A road surface determination apparatus includes an acceleration detector and a road surface determination unit. The acceleration detector is configured to detect an acceleration of a vehicle body or a vibration transmission member configured to transmit vibration from a tire to the vehicle body. The road surface determination unit is configured to determine a condition of a surface of a road, using a determination value obtained by extracting a component of a predetermined frequency band from the acceleration detected by the acceleration detector and integrating the component.

A method of determining a road surface condition includes: acquiring, when determining a condition of a road surface being in contact with a tire from a time-varying waveform of vibration of the running tire, the time-varying waveform of vibration having been detected by a vibration detecting means, a plurality of intrinsic vibration modes, from data of the time-varying waveform of vibration of the tire, using an algorithm of empirical mode decomposition; selecting an arbitrary intrinsic vibration mode from the plurality of intrinsic vibration modes; calculating a statistic amount from the distribution of feature data calculated by performing Hilbert transform on the selected intrinsic vibration mode to set the statistic amount as a feature amount; and determining the road surface condition from the feature amount and a feature amount obtained in advance for each road surface condition.

A vehicle body motion informing device includes a vehicular interior part that configures an interior surface of a vehicular compartment of a vehicle, a lighting device mounted on a vehicular exterior side of the vehicular interior part and exiting light to a vehicular compartment, a control unit that receives an information signal relating to the motion of the vehicle body and controls the lighting device to exit light according to the information to inform the vehicle occupant of the motion of the vehicle body, and a surface member having semi-transmissivity and disposed to cover at least a lighting portion included in the vehicular interior part and a surrounding portion of the vehicular interior part. The lighting portion overlaps the lighting device and the light from the lighting device passes through the lighting portion to the vehicular compartment and the surrounding portion is near the lighting portion.

A vehicle control system includes: a travel control unit configured to switch a driving mode of a vehicle; a traveling state detecting unit configured to detect a traveling state of the vehicle; a generating unit configured to generate at least one turning line; an external environment recognizing device configured to detect a state of an external environment of the vehicle; a setting unit configured to set a traveling area in front of the vehicle in a traveling direction thereof; and a determining unit configured to determine whether the turning line is located in the traveling area. In a case where the determining unit determines that the turning line is not located in the traveling area while a manual driving mode is selected, the travel control unit switches the driving mode of the vehicle from the manual driving mode to an autonomous driving mode.

The disclosure relates to a vehicle velocity control method. The method includes: determining, by an onboard sensor, drivable distances in different directions in front of a current vehicle, and obtaining, at least based on types of targets in the different directions, an area of a drivable space in front of the current vehicle; determining, based on the area of the drivable space and a current vehicle velocity, a result of a safety degree in a current driving scenario; and controlling the vehicle velocity of the current vehicle based on the result of the safety degree. The disclosure further relates to a vehicle control device, a computer storage medium, and a vehicle.

Disclosed is a method for a vehicle transmitting a signal in a wireless communication system. The method may comprise: receiving information on a road environment; driving a vehicle along a selected path on the basis of the information on the road environment; and, on the basis of satisfying a predetermined condition, transmitting a message for reserving a lane change to a specific lane among at least one lane included in the path. In addition, the message may include information on a virtual vehicle corresponding to the vehicle when in the specific lane. In addition, whether or not the predetermined condition is satisfied may be determined on the basis of: i) the right of way of the vehicle with respect to the lane changing; or ii) a back-off counter.

Embodiments provide extracting information respectively corresponding to predetermined dimensions from environment information corresponding to an unmanned driving environment. In some embodiments, the information respectively corresponding to the dimensions is input into an identification model to obtain a driving feature. Then a risk value representing a driving risk degree of an unmanned device is determined, and a maximum variation of the information corresponding to at least one dimension is determined when a variation of the driving feature is less than a predetermined threshold. A maximum variation of the information corresponding to each dimension is used as a risk contribution feature. A variation representative value of the information corresponding to each dimension is determined from the risk contribution feature. According to the variation representative values of the dimensions, a driving risk factor corresponding to the risk value is determined based on the driving feature.

A controller causes a host vehicle to decelerate when a velocity of an oncoming vehicle corresponding to a position of the oncoming vehicle distant from a stationary object by a predetermined distance is greater than or equal to a velocity threshold corresponding to the position of the oncoming vehicle distant from the stationary object by the predetermined distance in a case in which a passing position is present within a predetermined region, and causes the host vehicle to keep the velocity or accelerate when the velocity of the oncoming vehicle corresponding to the position of the oncoming vehicle distant from the stationary object by the predetermined distance is less than the velocity threshold corresponding to the position of the oncoming vehicle distant from the stationary object by the predetermined distance in the case in which the passing position is present within the region.

The travel path generation device includes; a first path generation part that outputs a bird's-eye view travel path constituted of a bird's-eye view curvature component, a bird's-eye view angle component, and a bird's-eye view lateral position component; a second path generation part that outputs an autonomous travel path constituted of an autonomous curvature component, an autonomous angle component, and an autonomous lateral position component; and a path generation part that receives the outputs of the first path generation part and the second path generation part, sets up, based on the bird's-eye view curvature component, the autonomous angle component, and the autonomous lateral position component, a curvature component of the travel path of the host vehicle, an angle component to the travel path of the host vehicle, and a lateral position component to the travel path of the host vehicle, and generates the travel path of the host vehicle.