A system for controlling platooning by a following vehicle includes a main body of the following vehicle. The system further includes a pressure sensor located in or on the main body and configured to detect a pressure corresponding to a pressure wake from a leading vehicle. The system further includes an electronic control unit (ECU) located in or on the main body, coupled to the pressure sensor, and configured to determine an optimal distance from the following vehicle to the leading vehicle based on the detected pressure. The optimal distance corresponding to a distance at which drag applied to the following vehicle is reduced based on the pressure wake from the leading vehicle.

A system for controlling platooning by a following vehicle includes a sensor located in or on the following vehicle configured to detect data corresponding to a shape of a leading vehicle. The system further includes an electronic control unit (ECU) located in or on the following vehicle, coupled to the sensor, and configured to determine an optimal distance from the following vehicle to the leading vehicle based on the shape of the leading vehicle, the optimal distance corresponding to a distance at which drag applied to the following vehicle is reduced based on a pressure wake from the leading vehicle.

A traveling control apparatus includes: an information obtainer configured to obtain braking state information of a braking device in the host vehicle; and an ACC-ECU configured to execute traveling control including constant speed traveling control to cause the host vehicle to travel at a constant speed based on a preset vehicle speed, and follow-up traveling control to cause the host vehicle to travel so as to follow another vehicle traveling ahead of the host vehicle at a predetermined inter-vehicle distance. The ACC-ECU deactivates the ACC at a time when a braking performance index EV1z, derived from braking state information obtained by the information obtainer while the ACC being in operation, is deemed to be decreased by more than a predetermined first variation width IN_dif1, as compared with a braking performance index EV1a at a time of the ACC having been activated.

An estimation unit, if an acquisition unit acquires, as information outside a vehicle, information of a following other vehicle that is a vehicle traveling on a lane different from a traveling lane of the vehicle and is traveling behind the vehicle and information of a preceding other vehicle that is traveling ahead the vehicle and the following other vehicle, estimates, based on a behavior of the following other vehicle to the preceding other vehicle and a behavior of the following other vehicle to the vehicle, whether the behavior of the following other vehicle allows a lane change of the vehicle to enter between the preceding other vehicle and the following other vehicle.

A vehicle controller for automated driving control of a vehicle in traffic congestion includes a processor configured to determine whether the situation around the vehicle is a detection-enabled situation in which another vehicle traveling on a road within a predetermined distance of the vehicle in a travel direction of the vehicle is detectable by a sensor for detecting the situation around the vehicle, the sensor being mounted on the vehicle, and determine whether congestion is relieved around the vehicle, based on motion of the other vehicle detected based on a sensor signal obtained by the sensor, when the situation around the vehicle is the detection-enabled situation.

A vehicular surrounding image calibration method may include determining whether driving lane and vehicle speed control functions are activated, upon determining that the driving lane and vehicle speed control functions are activated, determining a satisfied or dissatisfied state of each of a road condition and an external environmental condition based on a connected car service (CCS), and upon determining that the external environmental condition and the road condition are satisfied, performing automatic calibration of a surround view monitor (SVM) function.

A traveling control apparatus for a vehicle includes a steering angle detector, a vehicle speed detector, and a cruise control unit. The cruise control unit includes a steering angle speed detector, a steering angle correction value setting unit, and a target acceleration rate setting unit. The steering angle correction value setting unit sets a steering angle correction value, on the basis of a speed of the vehicle detected by the vehicle speed detector and a steering angle speed calculated by the steering angle speed detector. The target acceleration rate setting unit sets a target acceleration rate of a cruise control, on the basis of a steering angle and the speed of the vehicle. The steering angle is based on an addition of the steering angle correction value set by the steering angle correction value setting unit to the steering angle absolute value detected by the steering angle detector.

A riding assistance system for a motorcycle comprising: a processing resource; a memory configured to store data usable by the processing resource; and at least one wide-angle forward-looking camera configured to be installed on the motorcycle in a manner enabling it to capture images of a scene including at least a right side and a left side in front of the motorcycle; wherein the processing resource is configured to: obtain a series of at least two images consecutively acquired by the camera; analyze a region of interest within at least a pair of consecutive images of the series to identify features having respective feature locations within the at least pair of consecutive images; determine vectors of movement of the features; and generate a warning notification upon a criterion associated with the vectors of movement being met.

Disclosed are a method for recognizing braking performance of a preceding vehicle and controlling driving of a vehicle based on the recognized braking performance, and a vehicle terminal therefor. One or more of a vehicle, a vehicle terminal, and an autonomous vehicle in the present disclosure may work in conjunction with an Artificial Intelligence (AI) module, an Unmanned Aerial Vehicle (UAV), a robot, an Augmented Reality (AR) device, a Virtual Reality (VR) device, a 5G service-related device, etc.

A system includes a processor and a memory storing instructions executable by the processor to control at least one of a steering system or a propulsion system to operate a vehicle at a speed below a speed threshold. The instructions include instructions to determine whether one or more second vehicles a first distance from the vehicle are traveling below the speed threshold. The instructions include instructions to, upon determining the second vehicles are traveling below the speed threshold, continue to control the steering system or the propulsion system. The instructions include instructions to, upon determining the second vehicles are not traveling below the speed threshold, transition control of the steering system or the propulsion system to a human operator of the vehicle.