A vehicle control device includes a recognizer that is configured to recognize a peripheral situation of a vehicle and a driving controller that is configured to execute automated driving for controlling a speed and steering of the vehicle on the basis of a recognition result of the recognizer. The recognizer is configured to recognize a real-time environment including a situation of a nearby vehicle or a situation of a nearby road on which the vehicle travels, and the driving controller is configured to shunt the vehicle to a shunt location to suspend the automated driving in a case where the real-time environment corresponds to a predetermined condition, and resume the automated driving in a case where the predetermined condition is resolved after the shunt.

A path planning device configured to plan a traveling path on a future route of a vehicle includes a lane evaluation unit, a score accumulation unit, and a lane selection unit. The lane evaluation unit is configured to estimate a risk score of each chronological section of each traveling lane parallel traveling lanes, the risk score representing a traveling risk. The score accumulation unit is configured to accumulate the risk scores for each traveling lane. The lane selection unit is configured to select the traveling lane for the traveling path based on evaluation accumulated values. The lane evaluation unit is configured to estimate a base score based on static information. The static information contains a traveling difficulty for the vehicle at a change node. The lane evaluation unit is configured to estimate the base score such that the traveling risk is higher as the traveling difficulty is higher.

Methods and devices for operating a Self-Driving Car (SDC) are disclosed. The method includes generating a first graph-structure having nodes and edges, ranking the edges based on a priority logic into a ranked list of edges, and generating a second graph-structure (i) by iteratively generating attributes for respective ones from the ranked list of edges beginning with a highest priority edge in the ranked list of edges and (ii) until a pre-determined limit is met. The method also includes causing operation of the SDC on the road segment using the second graph-structure.

A method of controlling operation of a vehicle includes monitoring at least one of a location and a route of the vehicle when the vehicle is in a first operating state, receiving map data related to an area around at least one of the location and the route, and identifying, based on the map data, one or more map attributes indicative of one or more features of the area. The method also includes comparing the one or more map attributes to at least one reference attribute, and based on the one or more map attributes matching the at least one reference attribute, causing the vehicle to enter a second operating state when the vehicle is in the area.

Disclosed in the present application are a method for generating a speed control model, a vehicle control method and an apparatus. The vehicle control method comprises: acquiring the current geographic location of a target vehicle and a target speed control feature corresponding to the current geographic location, the target speed control feature being a feature that affects the speed of the vehicle; inputting the current geographic location and the target speed control feature corresponding to the current geographic location into a speed control model to obtain the current target speed of the target vehicle, the speed control model being generated by training starting coordinates and ending coordinates of each preset lane segment in the map data, the target speed control feature and a speed control label in the preset lane segment; and controlling the target vehicle to drive according to the current target speed.

Provided herein is a method for assisting a driver with driving a motor vehicle. The method includes ascertaining a permissible driving speed in a route section by evaluating environmental data describing the motor vehicle environment. The method further includes calculating a target maximum speed, which is lower than the permissible driving speed, by subtracting a predefined reduction amount from the permissible driving speed and/or by multiplying the permissible driving speed by a predefined scaling factor. The method further includes controlling at least one alert device for outputting an alert to the driver when a present driving speed of the motor vehicle exceeds the target maximum speed and/or controlling the driving speed of the motor vehicle by a longitudinally guiding driver assistance system, wherein the target maximum speed is used as a maximum speed or as a target speed.

A start/stop device initiates an automatic activation process of an automatically deactivated drive machine of a motor vehicle, in particular of a motor vehicle with an automatic transmission. The drive machine can be automatically deactivated when the motor vehicle is traveling, and the automatically deactivated drive machine can be activated on the basis of driver actions. The start/stop device is configured to initiate an automatic activation of the drive machine which is automatically deactivated when the motor vehicle is traveling on the basis of a detected drive dynamic desired by the driver.

Disclosed are methods, systems, and non-transitory computer readable media that control an autonomous vehicle via at least two sensors. One aspect includes capturing an image of a scene ahead of the vehicle with a first sensor, identifying an object in the scene at a confidence level based on the image, determining the confidence level of the identifying is below a threshold, in response to the confidence level being below the threshold, directing a second sensor having a field of view smaller than the first sensor to generate a second image including a location of the identified object, further identifying the object in the scene based on the second image, controlling the vehicle based on the further identification of the object.

The steering controller calculates a target steering angle for causing the own vehicle to travel along the target course acquired by the traveling road information acquirer. The braking/driving force controller calculates a target yaw moment for correcting the positional displacement of the own vehicle from the target course. The control ratio setter sets a control ratio of cooperative control of steering control and yaw moment control based on the deviation amount of a lateral position of the own vehicle from the target course. The control ratio is set so that when the positional displacement of the own vehicle from the target course is relatively small, the ratio at which the steering control occupies is reduced, and the yaw moment control is dominant, and when the positional displacement of the own vehicle from the target course is relatively large, the ratio at which the steering control occupies is increased.

A vehicle provided with an electric motor configured for outputting warning through torque control of the motor and a method of outputting warning for the same, may include: recognizing, by a controller, a stop point or a deceleration section where a pause or deceleration of the vehicle is required or recommended; setting, by the controller, a virtual road surface facility based on the stop point or a start point of the deceleration section; outputting, by the controller, information on a set position of the set virtual facility or a distance remaining from the vehicle to the set position; and implementing, by the controller, driving feeling passing through the set virtual road surface facility as a pitching motion of the vehicle using a torque control of the electric motor according to a vehicle speed when the electric vehicle passes the set position.