A platooning controller, a vehicle system including the same, and a method thereof perform control during platooning. The platooning controller includes a processor that, when an outside vehicle cuts in a platooning line, performs platooning control depending on an intention of a user to perform the platooning control and a driving situation with the cut-in vehicle that cuts in the platooning line. The platooning controller also includes a storage that stores the result of performing the platooning control performed by the processor and information about the driving situation.

Systems and methods of visualizing predicted driving risk are provided herein. Vehicle sensor data associated with a vehicle operator may be analyzed. Based on the analysis of the vehicle sensor data, one or more vehicle operation risks associated with the vehicle operator may be predicted. Each vehicle operation risk may be associated with a portion of a vehicle associated with the vehicle operator. Additionally, each vehicle operation risk may be assigned a priority level, e.g., based on predicted likelihood of occurrence, predicted danger of the vehicle operator, predicted damage to the vehicle, etc. A display overview of the vehicle may be presented to the vehicle operator. In the display overview of the vehicle portions of the vehicle associated with each of the predicted vehicle operation risks may be highlighted. The portions may be highlighted differently (using different colors, heavier/lighter shading, etc.) based on the priority level of their associated risks.

A graphical ultrasonic module and driver assistance system are provided. The graphical ultrasonic module includes an ultrasonic sensor array and an ultrasonic transmitter array. The ultrasonic sensor array includes three or more ultrasonic sensors, and the ultrasonic sensors form a virtual plane. The ultrasonic transmitter array includes a plurality of ultrasonic transmitters. The geometric center of the ultrasonic transmitter array is substantially the same as the geometric center of the ultrasonic sensor array.

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify a target vehicle in the environment of the host vehicle; predict a following distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a host vehicle braking distance based on a braking capability, acceleration capability, and speed of the host vehicle; determine a target vehicle braking distance, based on a speed and maximum braking capability of the target vehicle; and implement the planned navigational action when the predicted following distance is greater than a minimum safe longitudinal distance based on the determined host vehicle braking distance and the determined target vehicle braking distance.

The vehicle control device, independently of acceleration and deceleration operation by a vehicle driver, adjusts a vehicle speed to a predetermined target vehicle speed or adjusts an inter-vehicle interval between the vehicle and a preceding vehicle which travels ahead of the vehicle, to a predetermined target inter-vehicle interval. The vehicle control device obtains information concerning the inter-vehicle interval between the vehicle and the preceding vehicle and information concerning acceleration and deceleration operations by the driver, to update settings of the target vehicle speed and the target inter-vehicle interval according to the obtained information concerning the inter-vehicle interval and the acceleration and deceleration operation. Furthermore, the vehicle control device outputs, to a braking/driving device (a brake pedal and an engine) of the vehicle, a braking/driving command (a driving command and a braking command) for adjusting traveling state based on the updated target vehicle speed and target inter-vehicle interval.

A driving assistance method includes: detecting a first other vehicle entering an intersection on a first route where a host vehicle is traveling from a second route; predicting whether or not the first other vehicle will stop in the intersection, and predicting a stop position of the first other vehicle; calculating a minimum distance of a first gap between a vehicle body of the first other vehicle and a surrounding object around the first other vehicle or between the vehicle body of the first other vehicle and a road edge of a travel lane of the first other vehicle when the first other vehicle stops at the predicted stop position; and predicting according to the calculated minimum distance whether or not a second other vehicle, which is a following vehicle behind the first other vehicle, may slip through the first gap from behind the first other vehicle.

A vehicle includes a driving device configured to control a speed of the vehicle, a camera configured to detect a surrounding vehicle, and a controller configured to determine the speed of the vehicle. The controller also calculates an image vector variation amount of the surrounding vehicle when the speed of the vehicle is lower than a predetermined speed and calculates a safety distance between the vehicle and a preceding vehicle based on the image vector variation amount of the surrounding vehicle when the image vector variation amount of the surrounding vehicle satisfies a predetermined condition. The controller also controls the driving device to control the speed of the vehicle depending on the calculated safety distance.

Disclosed herein are a vehicle control system and method. According to an aspect of the present disclosure, the vehicle control method includes detecting an electric mobility vehicle around a host vehicle to control an inter-vehicle distance between the host vehicle driven by a driver and the electric mobility vehicle, upon detecting the electric mobility vehicle, determining whether the electric mobility vehicle is present in a region of interest, and controlling the host vehicle to maintain a target inter-vehicle distance to the electric mobility vehicle.

A drive assistance device for a saddle riding-type vehicle includes an outside detecting part that detects a situation around the vehicle, a brake device that brakes a host vehicle, a driving device that drives the host vehicle, and a controller that controls operation of the brake device and the driving device, and the controller performs following-travel-control that causes the host vehicle to travel with a first vehicular gap while following a preceding vehicle by actuating at least one of the brake device and the driving device, adjusts actuation of at least one of the brake device and the driving device when the outside detecting part detects a corner in a direction in which the host vehicle advances while the following-travel-control is performed, and performs control of setting a vehicular gap with respect to the preceding vehicle as a second vehicular gap that is greater than the first vehicular gap.

The present embodiments relate to a vehicle control device and method, and a vehicle system. The vehicle control device may include a determinator determining a road surface condition based on vehicle driving information and determining whether to brake a vehicle based on a result of determining the road surface condition and a vehicle controller controlling a braking device according to a result of determining whether to brake the vehicle by the determinator and controlling a steering device based on control of the braking device.