A vehicle control system includes a virtual line setter configured to set virtual lines in front of a gate on the basis of the position of the gate, and a gate passing controller configured to perform vehicle control when a vehicle passes through the gate on the basis of the virtual lines set by the virtual line setter.

A method for influencing driving dynamics of a vehicle, in which the driving dynamics are influenced as a function of parameters allocated to a selected driving dynamics mode when the driving dynamics mode is activated, and the driving dynamics are influenced as a function of road state information representing a road state in the region of the vehicle when an automatic mode is activated.

Methods and systems are provided for controlling a vehicle action based on a condition of a road on which a vehicle is travelling, including: obtaining first sensor data as to a surface of the road from one or more first sensors onboard the vehicle; obtaining second sensor data from one or more second sensors onboard the vehicle as to a measured parameter pertaining to operation of the vehicle or conditions pertaining thereto; generating a plurality of road surface channel images from the first sensor data, wherein each road surface channel image captures one of a plurality of facets of properties of the first sensor data; classifying, via a processor using a neural network model, the condition of the road on which the vehicle is travelling, based on the measured parameter and the plurality of road surface channel images; and controlling a vehicle action based on the classification of the condition of the road.

This invention provides a secure self-driving system or drive-assisting system. A drive control system of the present invention has an image recognition unit for detecting the peripheral environment of a vehicle and a drive control apparatus that controls driving of the vehicle, characterized by having a peripheral environment storage unit for storing the peripheral environment of the vehicle and by changing a mode of drive control performed by the drive control apparatus on the basis of a detection performance status of the image recognition unit obtained on the basis of information about the peripheral environment stored in the peripheral environment storage unit and information detected by the image recognition unit.

A travel control device for a vehicle executes a self-driving control based on traveling environment information on which the vehicle travels and traveling information on the vehicle. In the device, a traveling environment information acquisition unit acquires the traveling environment information. A traveling information detection unit detects the traveling information. An unstable behavior detector detects an unstable behavior in one or both of a rolling direction and a yaw direction of the vehicle. A steering wheel holding state detector detects a state in which a driver holds a steering wheel. The first unstable behavior reducer reduces the detected unstable behavior by correcting a steering angle. A second unstable behavior reducer reduces the detected unstable behavior by selecting a predetermined wheel and applying a braking force to the wheel. A vehicle behavior controller freely operates the unstable behavior reducers according to detection results.

A vehicle control system includes: an automated drive control unit that performs automated driving where at least one of speed control and steering control of a vehicle is performed automatically, the automated drive control unit executing handover where an automated drive mode is switched to a manual driving mode; a calculating unit that calculates an occurrence frequency of the handover or an occurrence probability of the handover on a traveling route that the vehicle will travel; and a presentation unit that presents the occurrence frequency of the handover or the occurrence probability of the handover that has been calculated, to an occupant of the vehicle.

A method ensures that a vehicle can safely pass a traffic light. The vehicle includes a processor and a light sensor. The method includes receiving traffic data, establishing a speed profile, establishing a control distance, the processor establishing, in accordance with the speed profile, a control distance at which braking ensures that the vehicle stops safely before the position of the traffic light, adjustment according to the speed profile, detecting the state of the traffic light when the vehicle is at the control distance from the traffic light, and the processor activating braking if the traffic light is red.

A method for planning a vehicle diagnosis in a vehicle includes: estimation of an operating characteristic of the vehicle on a route to be traveled by the vehicle; and planning of the vehicle diagnosis based on a probability that the estimated operating characteristic of the vehicle will correspond to an operating characteristic suitable for the vehicle diagnosis.

A method to control a powertrain in a vehicle during an acceleration is provided, the powertrain including a propulsion unit, a multi-clutch transmission drivingly connected to the propulsion unit, and a control unit for controlling at least the powertrain components, which control unit is provided with a prediction model including at least one simulated shift sequence for the multi-clutch transmission. The method involves monitoring at least one operating parameter of the powertrain; estimating the time (tE) between initiation of a first power upshift and initiation of a sequential second power upshift using the prediction model; and, if the estimated time is shorter than a predetermined time limit (tLIM), controlling the propulsion unit to limit the vehicle acceleration so that the time between the first and second power upshifts is increased to be at least equal to the predetermined time limit (tLIM).

A method and apparatus for evaluating the driving of a vehicle performing a journey on a road network is disclosed. The method comprises determining a fuel usage rate and an engine speed of a vehicle, and determining when the vehicle is coasting based upon at least one of the fuel usage rate and the engine speed of the vehicle. An acceleration of the vehicle, when the vehicle is determined to be coasting, is compared with a predetermined reference acceleration, and an application of braking during the coasting is determined based on the result of the comparison. A method and apparatus is also disclosed for determining a score indicative of the relative amount of time for which the vehicle is coasting without braking during a journey.