A vehicle control device has a processor configured to assess whether or not a lane change is necessary based on a scheduled route and surrounding environment information for a vehicle and select a traffic lane of the road, to produce a driving lane plan showing the scheduled driving lane, determine the notification priority representing the priority for notifying the driver of the planned lane change, based on at least one item from among the scheduled route, and the result of assessing whether or not the planned lane change is included in a plurality of continuous planned lane changes to be executed for a common purpose, when it has been planned to execute a lane change and suppress notification to the driver of planned lane changes with low notification priority compared to notification to the driver of planned lane changes with high notification priority, using a notification unit.

The invention relates to a method for estimating a current wheel circumference of at least one wheel arranged on a vehicle, said method comprising: determining a reference speed of the vehicle at a point in time by means of a reference apparatus, detecting a wheel rotational speed of the at least one wheel at said point in time by means of a wheel rotational speed sensor, estimating a single wheel-circumference value based on the determined reference speed and the detected wheel rotational speed for said point in time by means of a calculation apparatus, storing at least the estimated single wheel-circumference value in a circular buffer for said point in time, estimating a current wheel circumference based on the single wheel-circumference values stored in the circular buffer by the calculation apparatus, outputting the estimated current wheel circumference as a wheel circumference signal.

The systems and methods disclosed herein are configured to determine if a trailer backup assist system is needed to assist a driver with a procedure to backup a trailer that is connected to a vehicle. The estimation of need for assistance may be determined by an assistance model. If assistance is needed, the systems and methods provide an input to initiate a process to enable the trailer backup assist system.

A driving determination device includes an acquirer configured to acquire at least a captured image of a driving body in a driving direction and information that changes with movement of the driving body; a driving level calculator configured to calculate a driving level for evaluating a driving method for the driving body for each predetermined determination item, using at least one of the acquired captured image and the acquired information that changes with the movement of the driving body; an itemized calculator configured to calculate values based on a plurality of the calculated driving levels for each determination item; and an evaluation result calculator configured to calculate a value for comprehensively evaluating the driving method for the driving body, using the values based on the driving levels for each determination item.

A method includes estimating a first pressure at a first location of a clutch based on a flow rate of a fluid in the clutch, computing a first torque lead value based on the first pressure, computing a second torque lead value based on a second pressure, computing a third torque lead value by combining the first torque lead value and the second torque lead value, and applying torque from a motor of the vehicle based on the third torque lead value.

A vehicle can be operated in an identified map area. Output is obtained from a first classifier, based on input including the map area and one or more current environmental conditions detected in the map area, specifying a first probability that the map area is currently available for sensing to support input-free operation of the vehicle. Then, if and only if the first probability indicates that the map area is currently available for sensing to support input-free operation of the vehicle, output is obtained from a second classifier, based on input including the map area and the one or more current environmental conditions, specifying a second probability that the vehicle will traverse the map area without a minimum risk maneuver event. Then, if and only if the second probability indicates that the vehicle will traverse the map area without a minimum risk maneuver event, operating the vehicle in an input-free mode in the map area.

The present disclosure relates to adaptive cruise control in the field of automatic driving, and discloses a vehicle control method, an apparatus, an electronic device and a storage medium. A specific implementation is: firstly, determining a target travelling scenario according to real-time monitoring data upon fulfilment of a preset update condition; then, determining a target time headway according to the target travelling scenario, where the target time headway is used to dynamically adjust a relative motion state between an host vehicle and a surrounding vehicle; and finally, controlling a vehicle according to the target time headway. It solves the problem of the prior art in overemphasizing the state of the vehicle ahead for automatic driving control while overlooking the perception of the driver or passenger of the host vehicle in the travelling scenario can prompt the driver to manually intervene, compromising the experience of the automatic driving.

An on-vehicle situation detection apparatus may include a detection unit to identify a driver and acquire driver status data and data about vehicle driving information or vehicle surrounding obstacles, a driving pattern learning unit to learn and store a driving pattern of a driver, based on the data acquired by the detection unit, a weighted value determination unit to determine a weighted value assigned to the information data acquired by the detection unit, based on the driving pattern learned by the driving pattern learning unit, a determination unit to determine a safe driving state of the driver, based on the data to which the weighted value determined by the weighted value determination unit is assigned, and a warning unit to warn the driver when the driver is determined to be not in the safe driving state.

A method is for calculating a management setpoint for the consumption of fuel and of electric current by a hybrid motor vehicle including at least one electric motor that is supplied with electric current by a traction battery and an internal combustion engine that runs on fuel. The method includes: dividing a journey into segments; acquiring attributes for each segment; for each segment, acquiring a relationship between the fuel and electrical consumption; determining an optimal consumption point in each acquired relationship to maximize discharging the traction battery over the segments for which use of the internal combustion engine is not authorized, minimize the fuel consumption of the hybrid motor vehicle over the entire journey, and maximize the discharging of the traction battery upon completion of the journey; and developing a setpoint for power management over the entire journey, according to the coordinates of the optimal points.

The vehicle includes: a sensor part configured to acquire occupancy information of an surrounding area of the vehicle and a speed of the vehicle; a camera configured to acquire a surrounding image of the vehicle; and a controller configured to form map information based on the occupancy information according to movement of the vehicle, determine presence or absence of an obstacle around the vehicle based on the map information and the surrounding image, and control, in response to presence of the obstacle, the vehicle based on the presence of the obstacle and a possibility of collision of the vehicle derived from the speed of the vehicle and the map information.