The invention relates to a method for determining a lane change for a driver assistance system (100) of a vehicle (1), which method comprises calculating (220) a probability that other vehicles (2) are driving at a higher speed in a lane (L2) which is adjacent to a current lane (L1) of the vehicle (1), applying (240) a hysteresis to the calculated probability based on a driving parameter dependent on a last lane change, and issuing (250) a command to change lanes depending on the probability. The invention further relates to a driver assistance system and a vehicle which can carry out such a method.

A vehicle control apparatus may include: a profile generator that generates at least one speed profile including a hysteresis section, in which deceleration and acceleration due to coasting of a vehicle are repeated, based on an environmental condition of the vehicle; a profile selector that selects a speed profile, which satisfies a predetermined condition, from among the at least one speed profile; and a controller that controls a speed of the vehicle depending on the speed profile selected by the profile selector.

A working vehicle (2) for use in agriculture is configured for mounting a laterally protruding implement on the vehicle front or vehicle rear. The vehicle has an electronically controllable drive motor (4), an electronically controllable brake system (6), a sensor arrangement (8) for measuring rotational movements or rotational oscillations about at least one of three reference axes, and an electronic control device (10) for evaluating sensor data and for activating the drive motor (4) or the brake system (6). A data storage (50) stores threshold values for the sensor data. The control device determines characteristic values for the respective rotational movement or rotational oscillation and decides whether a reduction in travel speed is required in view of the threshold values. If true, the travel speed is reduced until the characteristic value reaches or falls below the threshold value.

A controller, responsive to accelerator pedal release and a speed of the vehicle being less than a threshold, operates an electric machine to provide braking torque according to a predetermined speed versus time profile that defines a predetermined duration for the speed to become zero and a target speed for each time instant during the predetermined duration such that, for a given one of the time instants, the electric machine increases the braking torque responsive to the speed being greater than the target speed and decreases the braking torque responsive to the speed being less than the target speed.

Provided is a vehicle control apparatus capable of preventing sudden deceleration of a vehicle to be controlled even in a case of failure to recognize a step condition at a predetermined position. The vehicle control apparatus 140 is mounted on the vehicle. The vehicle control apparatus 140 includes a position acquisition unit F1 configured to acquire a position of the vehicle, a route acquisition unit F2 configured to acquire a planned route of the vehicle, a recognition unit F3 configured to recognize a stop condition included in image data Dg from an imaging device, a range setting unit F4 configured to set a recognizable range for the stop condition in the planned route, a speed calculation unit F5 configured to calculate a braking speed of the vehicle, the braking speed allowing the vehicle to stop at a stop position corresponding to the stop condition without an acceleration of the vehicle during deceleration exceeding a set value, and a traveling control unit F6 configured to control a speed of the vehicle to the braking speed when the position of the vehicle is included in the recognizable range and the recognition unit fails to recognize the stop condition.

Systems, methods, and devices are disclosed for predicting yield behaviors of objects (vehicles, bicycles, pedestrians, etc.) at a location. An autonomous vehicle located at a first road segment connecting to an intersection having a stop sign can detect a first vehicle approaching the intersection from a second road segment connecting to the intersection. Using a model indicating an average yield location and yield time where both are specific to the second road segment connecting to the intersection, the autonomous vehicle can predict that the first vehicle will yield at the average yield location that is specific to the second road segment.

Disclosed is a notification control apparatus for a vehicle which controls a notification apparatus which gives a notice to a driver. The vehicle has a driving assistance apparatus which includes a first recognition section for recognizing a traffic light present ahead of the vehicle from map data, a second recognition section for recognizing the traffic light present ahead of the vehicle and its indication state, and a deceleration control section which executes deceleration control by using, as a deceleration causing object, a traffic light recognized by the first recognition section and/or the second recognition section. The notification control apparatus includes a control section for controlling the notification apparatus to notify the driver of the deceleration causing object in different manners depending on whether the traffic light recognized by the first recognition section or the traffic light recognized by the second recognition section is used as the deceleration causing object.

A driver assistance device is configured to determine whether a type of a deceleration target is included in a category of a position-fixed object or a moving object, and determine whether the deceleration target is lost, and to continue the deceleration assistance on assumption that the lost deceleration target exists when the deceleration target is determined to be lost. The driver assistance device is configured to notify a driver of a host vehicle that the deceleration target is lost when the deceleration target is determined to be lost and the type of the deceleration target is included in the category of the moving object, and not to notify the driver that the deceleration target is lost when the deceleration target is determined to be lost and the type of the deceleration target is included in the category of the position-fixed object.

Systems, methods, and at least one computer-readable medium for selecting a velocity profile for an electric vehicle. In some embodiments, a first parameter value may be determined for a road segment in a selection horizon, and a second parameter value may be determined for an energy storage device of the electric vehicle. The first and second parameter values may be used to predict a plurality of velocity profiles over the selection horizon, wherein each velocity profile is predicted based on a corresponding value of a variable relating to a driving style of a driver of the electric vehicle. An energy consumption cost and a travel time cost may be computed for each velocity profile. A velocity profile may be selected from the plurality of velocity profiles, based on the respective energy consumption costs and the respective travel time costs.

Systems, methods, and devices are disclosed for predicting yield behaviors of objects (vehicles, bicycles, pedestrians, etc.) at a location. An autonomous vehicle located at a first road segment connecting to an intersection having a stop sign can detect a first vehicle approaching the intersection from a second road segment connecting to the intersection. Using a model indicating an average yield location and yield time where both are specific to the second road segment connecting to the intersection, the autonomous vehicle can predict that the first vehicle will yield at the average yield location that is specific to the second road segment.