A vehicle is capable of disabling autonomous driving by identifying whether an intervention of a user has occurred during autonomous driving. The vehicle includes a steering wheel, a first sensor device configured to detect a steering torque of the steering wheel, a steering angle of the steering wheel, and a steering angular velocity of the steering wheel, and a second sensor device configured to detect a touch of a user applied to the steering wheel. When the vehicle travels in an emergency control state in which a deceleration/acceleration speed of the vehicle is greater than a predetermined first value during autonomous driving, if the touch of the user on the steering wheel is detected through the second sensor device, the emergency control state is disabled under certain conditions, and if the steering torque is greater than or equal to a predetermined torque value, autonomous driving is disabled.

A vehicle with a hybrid drivetrain including a fuel-fed engine coupled to a first drive axle, an electric motor coupled to a second drive axle and an APU for providing electrical power at stopover locations, and further including a controller for determining a location of the vehicle, a location of a stopover location, determining a target SOC of a battery for operating the APU at the stopover location and operating a hybrid control system to provide the target SOC for the vehicle at the stopover location.

Systems and methods for starting an engine that may be started via an electric machine and a driveline disconnect clutch are described. In one example, the method estimates a maximum motor propulsive torque during engine starting. The maximum motor propulsive torque may be based on an estimated speed that a torque converter impeller speed will be when an engine cranking period ends.

In order to generate an improved travel path with sufficient accuracy, a vehicle travel path generation device includes a first travel path generation part (60) which approximates a lane on which a host vehicle (1) travels to output first travel path information, a second travel path generation part (70) which approximates a road division line ahead of the host vehicle (1) to output second travel path information, a travel path weight setting part (90) which sets a weight between the first travel path information and the second travel path information, and an integrated path generation part (100) which generates an integrated path information using the first travel path information, the second travel path information, and the weight by the travel path weight setting part (90), wherein the travel path weight setting part (90) sets the weight, on the basis of at least one of outputs from a bird's-eye view detection travel path weight setting part (91), a vehicle state weight setting part (92), a path distance weight setting part (93) and a peripheral environment weight setting part (94).

The invention relates to a device for determining the driving behavior of a driver, the device comprising at least means for receiving data from two or more data sources, of which at least one produces data relating to changes in the state of motion of a vehicle and at least one other produces measured data on the well-being of the driver; means for scoring the received data by comparing it with data-specific reference values; means for forming a respective sub-index from each scored item of data; means for determining a driving behavior index on the basis of the formed sub-indices; and means for controlling control equipment of the vehicle on the basis of the driving behavior index and/or for storing the driving behavior index in a database.

A method includes determining a desired yaw moment to be applied to an ego vehicle during travel. The method also includes identifying yaw moment changes that are achievable using different torque vectoring techniques supported by the ego vehicle. The method further includes selecting at least one of the torque vectoring techniques based on the identified yaw moment changes. In addition, the method includes using the at least one selected torque vectoring technique to obtain the desired yaw moment and create lateral movement of the ego vehicle during the travel. In some cases, a desired response time associated with the lateral movement of the ego vehicle may be used, where steering control provides a faster response time and torque vectoring control provides a slower response time. The at least one torque vectoring technique may be selected based on different energy efficiencies associated with different ones of the torque vectoring techniques.

An apparatus for controlling driving of a vehicle includes: an input device that receives an input signal corresponding to an operation of a driver; and a controller that sets a weight to a careless state of the driver based on a separation distance between the driver and the input device operated by the driver, a spaced angle, and a scheme of operating the input device, and calculates a braking application time point based on the weight.

A hybrid vehicle includes an electric motor and a combustion engine. A K0 clutch couples the combustion engine to a drivetrain of the vehicle. A control module of the vehicle calculates a torque to be applied by the motor to the K0 clutch when initiating engagement of the combustion engine to the drivetrain. The control module calculates two separate torque lead values by two separate methods and calculates the torque by combining the two torque lead values.

A broadcast of a signal is received at a first system from a second system at a first time. From the signal, a location of a target associated with the second system and a velocity of the target are determined relative to a location of the first system and a velocity of the first system. At the first system, using the location and the velocity of the first system and using the location and the velocity of the target, a likelihood is computed of a collision between the first system and the second system. A notification is sent from the first system about the likelihood of collision responsive to the likelihood of collision exceeding a threshold likelihood.

A vehicle control device includes a recognizer configured to recognize a surrounding environment including a structure of a road near a vehicle and another vehicle, a deriver configured to derive a predicted probability that the other vehicle will travel in the future along each of routes which are assumed when a plurality of routes along which the other vehicle is able to travel are assumed on a road on which the other vehicle recognized by the recognizer travels, and a travel controller configured to control behavior of the vehicle based on the predicted probability derived by the deriver.