A method for operating a transverse stabilization system of a vehicle. A steering direction of the vehicle and a setpoint direction of the vehicle are read in, with a transverse stabilization target for the transverse stabilization system being determined using the steering direction and the setpoint direction.

Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

A method for automatically braking a commercial vehicle includes: providing a plurality of ultrasonic radars on a front vehicle body of a target commercial vehicle, the ultrasonic radars being configured to detect a region before the target commercial vehicle in a gapless manner, an active speed range being set for each ultrasonic radar; acquiring a current speed of the target commercial vehicle in real time and calculating a safe distance for each ultrasonic radar in accordance with the current speed; and detecting whether there is an obstacle within the safe distance in real time, and when there is the obstacle within the safe distance, transmitting a decelerating or braking instruction to an execution system of the target commercial vehicle.

According to an aspect of the present disclosure, a collision warning apparatus of a vehicle may include an information acquisition device that obtains surrounding object information and vehicle information and a controller that generates collision prediction information of a surrounding object based on the surrounding object information and the vehicle information and provides a warning to an outside of the vehicle or generates control information for controlling braking of the vehicle while providing the warning to the outside of the vehicle based on the collision prediction information.

A vehicle control device that autonomously controls a vehicle so as not to cause rapid deceleration that leads to a deterioration in ride quality. The vehicle control device controls first and second deceleration, means that reduce a speed at a deceleration rate large than a deceleration rate of the first deceleration means. The vehicle control device includes a blind spot area detecting unit that detects a blind spot area of a sensor that recognizes an external environment, and a blind spot object estimating unit that estimates a blind spot object that is a virtual moving body hidden in the blind spot area. When a vehicle approaches the blind spot area at a speed reduced by the first deceleration means, the vehicle is decelerated by the second deceleration means when a type of a moving body detected by the sensor is different from a type of the blind spot object.

A driving assistance device recognizes traveling environment information on a vehicle, detects a moving object having a speed component from an outside of a traveling road of the vehicle to an inside of the traveling road, determines whether the moving object will collide with the vehicle based on movement information of the vehicle and the moving object, performs execution of emergency braking if a physical quantity indicating a correlation between the vehicle and the moving object is equal to or smaller than a preset threshold, and cancels the execution of the emergency braking if the physical quantity is equal to or smaller than the threshold and a structure that blocks entry of the moving object into the traveling road is present on a movement path of the moving object.

A vehicle behavior control device is equipped with an other vehicle detection unit that detects another vehicle, a collision prediction unit that predicts that the other vehicle will collide with a side surface of a user's own vehicle, a physical quantity determination unit that determines a physical quantity relationship between relative physical quantities of the other vehicle and the user's own vehicle, and a brake control unit that is capable of individually and independently controlling brakes corresponding to respective vehicle wheels and that causes a braking force of the brakes on a collision side and a braking force of the brakes on a non-collision side to differ from each other, in accordance with the physical quantity relationship determined by the physical quantity determination unit, in the case that a collision is predicted by the collision prediction unit.

An agricultural machine includes a vehicle body, an obstacle detector to detect obstacles, an autonomous travel controller to perform autonomous travel of the vehicle body, the autonomous travel controller being configured or programmed to, when performing the autonomous travel, stop the vehicle body based on detection information about an obstacle detected by the obstacle detector, and a mode switch to switch a mode during the autonomous travel in an agricultural field between an effective mode in which the stopping of the vehicle body based on the detection information is allowed and an ineffective mode in which the stopping of the vehicle body based on the detection information is not allowed.

A method and device for controlling brake system based on preceding vehicle recognition are disclosed. The device comprising: a data collecting unit configured to collect front data and rear data of a preceding vehicle, a driving trajectory extracting unit configured to extract a driving trajectory of a lane in which the vehicle is traveling, a preceding vehicle analysis unit configured to determine driving information of the preceding vehicle, a preceding vehicle determining unit configured to determine intervention of the preceding vehicle or deviation of the preceding vehicle with respect to the driving trajectory, and a control unit configured to control the brake system.

A movable object for responding to an object includes a first passive infrared sensor having a first detection range and a first field of view, and one or more second passive infrared sensors each having a second detection range and a second field of view. The second detection range is longer than the first detection range and the second field of view is smaller than the first field of view. The movable object further includes one or more processors configured to recognize the object based on one or more heat signals received from at least one of the first passive infrared sensor or the one or more second passive infrared sensors, and perform a flight response measure to control the movable object based on the recognized object.