The present invention discloses a safe driving early warning system for intervention based on driver emotions. The system obtains current driver facial expression dynamics through a driver emotion real-time recognition unit, performs intelligent emotional analysis based on the obtained facial expression dynamics, and controls a vehicle running status based on a real-time emotion recognition result. The system monitors driver emotions in real time during driving, and controls a vehicle driving status and/or issues a safety warning to a driver according to a monitoring result, so as to ensure the traffic safety of various vehicles from the perspective of the driver.

Methods of assessing driver behavior include monitoring vehicle systems and driver monitoring systems to accommodate for a driver's slow reaction time, attention lapse and/or alertness. When it is determined that a driver is drowsy, for example, the response system may modify the operation of one or more vehicle systems. The systems that may be modified include: visual devices, audio devices, tactile devices, antilock brake systems, automatic brake prefill systems, brake assist systems, auto cruise control systems, electronic stability control systems, collision warning systems, lane keep assist systems, blind spot indicator systems, electronic pretensioning systems and climate control systems.

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.

Provided is an electric vehicle, including: motors configured to apply braking/driving torques to drive wheels via gear-type speed reducers; a braking apparatus; and a control device configured to calculate, for each drive wheel, a final target torque, which is a sum of a first target torque that is based on a braking/driving operation amount of a driver and a second target torque for controlling a travel behavior of the electric vehicle, and control the motors and the braking apparatus so that an actual braking/driving torque of the drive wheel reaches the final target torque. When the final target torque is a braking torque under a situation in which the first target torque is a driving torque, the final target torque is corrected to a value that is not a braking torque.

The invention relates to a method for performing a braking maneuver using a braking assistant (9) in a motor vehicle (3), wherein the braking assistant (9) initiates an automatic braking maneuver when a distance between the motor vehicle (3) and an object (5) located ahead of the motor vehicle (3) is less than a minimum distance a.sub.min, an acceleration signal of the decelerating vehicle (3) is ascertained, and if the acceleration signal is positive the braking maneuver initiated by the braking assistant (9) is automatically interrupted.

A reverse assist system for a saddle riding vehicle includes a switch configured to be displaced between a first position and a second position. The switch is displaced to the second position to activate a reverse assist strategy. The reverse assist system also includes a sensing unit to determine at least one of a speed or an acceleration of the saddle riding vehicle, and a controller arranged in communication with the switch, the sensing unit, and a front brake. The controller is configured to activate the reverse assist strategy in response to the displacement of the switch to the second position, and control the front brake to control braking of a front wheel based on at least one of the speed or the acceleration of the saddle riding vehicle to assist a rider to reverse the saddle riding vehicle according to the reverse assist strategy.

A system for assisting driving includes a robotic status component and a maneuver selection component. The robotic status component is configured to determine, within a first vehicle, robotic status information pertaining to a proximate second vehicle. The second vehicle includes a vehicle controlled independently of the first vehicle. The maneuver selection component is configured to select at least one driving maneuver based on the robotic status information using an automatic driving system of the first vehicle.

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.

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.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a primary vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the primary vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: locate in the plurality of images a leading vehicle; determine, based on the plurality of images, at least one action taken by the leading vehicle; and cause the primary vehicle to mimic the at least one action of the leading vehicle.