A vehicle, which adjusts a collision warning time based on driver's field of view and visibility of the object, is provided. The vehicle includes: a distance sensor that collects data of an object, a camera that collects image data, a driver recognition sensor that collects driver's facial data, and a controller that analyzes driver's gaze and field of view using the driver's facial data, analyzes visibility of the object using the image data, and calculates a collision warning time based on a result of analyzing the driver's gaze and field of view and the visibility of the object, and an alarm device that informs the driver of the risk of collision at the collision warning time under the control of the controller.

A driving assistance system performs a driver-initiative normal driving assistance mode as a driving assistance for a vehicle. The system includes a reaction force characteristics change unit configured to change reaction force characteristics of the operation device, if it is determined that the operation amount of the driver is not included in the appropriate operation amount range in the normal driving assistance mode, an explicit risk determination unit configured to determine whether or not an explicit risk is present based on the external environment of the vehicle, and a driving assistance switching unit configured to switch a driving assistance for the vehicle from the normal driving assistance mode to a system-initiative risk avoidance assistance mode, if it is determined by the explicit risk determination unit that the explicit risk is present in the normal driving assistance mode.

The invention relates to a driver assistance system for a motor vehicle, the motor vehicle and a method for operating same. In some embodiments, an obstacle is detected based on environmental data and a risk of collision is determined in consideration of driving state data. Further, an evasion trajectory for preventing a collision of the motor vehicle with the obstacle is determined. The driver assistance system is configured to detect another oncoming vehicle for which the risk of collision is greater than a predefined first threshold value as the obstacle. Further, the driver assistance system is configured to check whether a control action of a driver of the motor vehicle is guiding same along the determined evasion trajectory and, if this is not the case, to modify the control action of the driver automatically such that the motor vehicle is guided along the determined evasion trajectory by the modified control action.

Described herein is a vehicle system configured to identify and mitigate inappropriate driving behavior. In some embodiments, the vehicle system may receive input information from one or more input sensors. The vehicle system may identify driving behaviors related to a vehicle from the received input. The vehicle system may determine whether the driving behaviors are inappropriate in light of one or more conditions affecting the vehicle. Upon identifying inappropriate behavior, the vehicle system may generate a set of corrective actions capable of being executed to mitigate the inappropriate driving behavior.

The present disclosure discloses a method and an apparatus for generating an autonomous driving strategy. A specific implementation of the method comprises: measuring state information of an instant vehicle and ambient scene information, the ambient scene information comprising: state information of an impediment vehicle, road structure information, and traffic scene information of the instant vehicle; determining a running track of the impediment vehicle according to the state information of the impediment vehicle within a predetermined period of time; determining a first mapping relation based on the state information of the impediment vehicle within the predetermined period of time and the running track of the impediment vehicle; and generating the autonomous driving strategy of the instant vehicle based on the first mapping relation, the road structure information, the state information of the instant vehicle and the traffic scene information of the instant vehicle.

A method adjusts a brake pedal feedback in a brake-by-wire vehicle brake system. The brake system includes a brake pedal and a simulation device associated with the brake pedal such that in a brake-by-wire mode of operation, the simulation device provides brake pedal feedback to the driver. An input signal is provided to a processor circuit of a control unit of the brake system. The input signal relates to a desired brake pedal feedback associated with a driver of the vehicle. The processor circuit generates a brake pedal feel output signal based on data regarding vehicle deceleration vs. travel of the brake pedal and on data regarding the vehicle deceleration vs. force on the brake pedal. Based on the brake pedal feel output signal, the control unit controls an output of the simulation device to establish the desired brake pedal feedback.

A vehicle traveling assistance method in which a braking timing of a vehicle in manual driving is learned and traveling in automatic driving is assisted based on the learned braking timing, includes activating a brake in the automatic driving such that a timing at which a driver senses a braking operation is earlier than the learned braking timing.

A bicycle braking system includes a server, a portable device such as a smartphone, a display unit, a control unit, a power supply unit, a rotating electrical machine, and a bicycle. The portable device includes an image display unit, a braking condition transmitting unit, and a braking condition setting unit. The control unit regeneratively brakes the bicycle using the rotating electrical machine in accordance with the braking condition set by the braking condition setting unit. The braking system enables a non-user to set braking conditions for the bicycle and to perform braking based on the conditions set by the non-user.

A method for controlling a driver assistance system is provided, as is a corresponding driver assistance system and a computer program product.

A vehicle control device includes a travel environment recognition device configured to recognize travel environment, a vehicle travel state detection device, and an autonomous/manual driving mode controller. The autonomous/manual driving mode controller includes a learning correction unit configured to store at least one of a plurality of control parameters indicating the vehicle travel state by operation of the driver in the autonomous driving mode, and to correct the control parameter in the autonomous driving mode according to the stored control parameter. When the stored control parameter is the control parameter changed by an operation by the driver midway in passing or after passing, the learning correction unit is configured to correct the control parameter in the autonomous driving mode so that an acceleration level or the deceleration level is increased midway in passing or after passing.