The present disclosure provides a safe driving method, a safe driving device and a safe driving system, for a vehicle. The safe driving device includes an information processor, and a brake controller connected to the information processor. The information processor is configured to acquire vehicle information and information about a driving license of a driver, and determine, in accordance with the vehicle information and the information about the driving license of the driver, whether or not the driver meets a requirement for driving the vehicle. The information processor is further configured to, in the case that the driver does not meet the requirement for driving the vehicle, control the brake controller to brake the vehicle.

A behavior control apparatus for a vehicle having a control unit for controlling a braking device and controlling a behavior of a vehicle by controlling braking forces of wheels. When the vehicle is in the non-braking state, the control unit acquires information on a lateral acceleration of the vehicle; calculates, based on the lateral acceleration of the vehicle, a target yaw moment of a feedforward control for reducing a rate of decrease of the vehicle's yaw gain accompanying with an increase in an absolute value of a lateral acceleration of the vehicle, and controls braking forces of the wheels by controlling the braking device so that at least a yaw moment corresponding to the target yaw moment is applied to the vehicle.

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 driver monitoring device is provided. The driver monitoring device includes a detection unit that detects an unbalanced posture of a driver based on an image of a driver's seat of a vehicle captured by a camera; a determination unit that determines whether or not the unbalanced posture of the driver detected by the detection unit is a habitual posture of the driver; and a notification unit that notifies the driver of the unbalanced posture in different manners in accordance with whether the unbalanced posture determined is the habitual posture of the driver or the unbalanced posture determined is other than the habitual posture of the driver.

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

Methods, systems, and apparatus for predicting the braking or acceleration of a vehicle. The pedal change prediction system includes a braking sensor for providing braking data or an acceleration sensor pedal for providing acceleration data. The pedal change prediction system includes an electronic control unit that is configured to determine a rate of depression of the brake pedal or the acceleration pedal that is associated with a first braking force or a first acceleration force. The electronic control unit is configured to predict a triggering event that is either a braking event or an acceleration event. The electronic control unit predicts the triggering event based on the rate of depression of the brake pedal or the acceleration pedal and causes the vehicle to apply a second braking force or a second acceleration force.

Systems and methods for analyzing a driver's brake behavior are provided. In some aspects, the system includes a memory that stores instructions for executing processes for analyzing the driver's brake behavior, and a processor configured to execute the instructions. In aspects, the processes include: receiving data from one or more multi-modal sensors, determining whether each braking event of a plurality of braking events is a hard braking event; analyzing the one or more physiological signals of the driver to determine whether each of the hard braking events is a reactive hard braking event or an intended hard braking event; applying a Lasso regression analysis and a classification framework for each of the hard braking events to identify features that indicate whether a respective hard braking event is a reactive hard braking event or an intended hard braking event; and generating a signal notifying a vehicle of the features.

Methods, systems, and apparatus for controlling the braking of a vehicle. The brake control system includes a first sensor for detecting motion data of the vehicle and an electronic control unit connected to the first sensor. The electronic control unit is configured to determine that the vehicle is not in motion based on the motion data. The electronic control unit is configured to predict a brake application event that requires application of a braking force to prevent the vehicle from moving and cause brakes of the vehicle to apply the braking force to prevent the vehicle from moving based on the brake application event.

Adjustable brake apparatus for use with vehicles are disclosed herein. An example apparatus includes a brake lever to control braking of a vehicle and a handle coupled to the brake lever. The handle rotates relative to the brake lever between a first position and a second position. The handle locks in the first position and the second position to enable actuation of the brake lever by a force applied to the handle in either the first position or the second position.

Methods, systems, and apparatus for predicting the braking or acceleration of a vehicle. The pedal change prediction system includes a braking sensor for providing braking data or an acceleration sensor pedal for providing acceleration data. The pedal change prediction system includes an electronic control unit that is configured to determine a rate of depression of the brake pedal or the acceleration pedal that is associated with a first braking force or a first acceleration force. The electronic control unit is configured to predict a triggering event that is either a braking event or an acceleration event. The electronic control unit predicts the triggering event based on the rate of depression of the brake pedal or the acceleration pedal and causes the vehicle to apply a second braking force or a second acceleration force.