Disclosed are a short cut-in target identification apparatus and an identification method thereof. The short cut-in target identification apparatus includes an occupancy distance map (ODM) information calculator configured to calculate ODM information based on subject vehicle and surrounding object information, a track information calculator configured to calculate track information based on the subject vehicle and surrounding object information, and a short cut-in target selector configured to select a short cut-in target based on the ODM information and the track information.

An alert apparatus of a vehicle generates an alert to a driver when an object is a target alert object that is is an object that is present in one of predetermined areas around the vehicle and that has object distance equal to or shorter than a first distance threshold. The alert apparatus sets each one or more of said predetermined areas to a high level alert area based on a current shift range, and set each of the rest of said predetermined areas to a low level alert area.

A method for matching a reference object and a test object includes providing a test object in a field of sensing of at least one sensor disposed at a vehicle. A volume match is determined based on a volume of the reference object and a volume of the test object. A distance match is determined based on a center and orientation of the reference object and a center and orientation of the test object. An angle match is determined based on a yaw angle of the reference object and a yaw angle of the test object. A superposition of the volume match, the distance match, and the angle match is determined based on a multiplication of the volume match, the distance match, and the angle match. A degree of matching of the reference object and the test object is determined based on the superposition.

Disclosed is a detection system and a detection method for detecting external environment information of a vehicle. The detection system includes at least two groups of vehicle-mounted modules (200) arranged on different vehicles, wherein each of the vehicle-mounted modules (200) includes: at least one sensor (201), configured to acquire distance information between the vehicle and a target; a processing unit (202), configured to establish a reference coordinate system by taking the vehicle as a center and perform calculation according to a detection direction of the sensor (201) and the distance information to obtain coordinates of the target in the reference coordinate system; a communication unit (203), configured to receive target positioning information of other vehicles transmitted by a communication unit (203) of at least one of other vehicle-mounted modules (200); and the processing unit (202) generates the external environment information of the vehicle in combination with target positioning information of the vehicle and the target positioning information of at least one of other vehicles. The system overcomes the limitation that a single vehicle independently acquires the external environment information, thereby accurately detecting the external environment information of the vehicle.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to predict a heading angle of a target vehicle, determine a distance between a host vehicle and a center line of the target vehicle based on the predicted heading angle, and perform a threat assessment for the target vehicle when the distance is below a threshold.

A vehicle driving assist apparatus includes an first calculator to calculate a degree of acceleration suppression, a controller to suppress target acceleration based on the degree of acceleration suppression, a map information storage to store road map information, an estimator to estimate a vehicle position and identify a traveling lane on the road map information, a detector to detect whether there is a crossing road ahead of the identified traveling lane, and a second calculator to calculate an azimuth angle difference between an azimuth of the crossing road where the own vehicle is about to turn and an azimuth in the traveling direction of the own vehicle. The acceleration suppression degree calculator makes a degree of acceleration suppression for suppressing the acceleration of the own vehicle higher then an azimuth angle difference becomes narrower based on the azimuth angle difference.

A vehicle control device includes an action controller that is configured to control an action of a vehicle, in which, in a case where there is another vehicle traveling on a second road adjacent to a first road on which the vehicle is traveling, and the vehicle is controlled to overtake another vehicle, the action controller is configured to accelerate the vehicle, causes the vehicle to show an intention to enter the second road when the vehicle is located a predetermined distance or more in front of another vehicle in an advancing direction of the vehicle after the vehicle is accelerated, and decelerates the vehicle while maintaining the vehicle in a state in which the vehicle is located in front of another vehicle at a timing according to the entry intention.

A driving system for a first vehicle, comprising one or more sensors configured to obtain proximity data for two or more vehicles proximate the first vehicle, and a processor in communication with the one or more sensors and programmed to classify the two or more proximate vehicles as a cluster in response to a heading angle of the two or more proximate vehicles being within a threshold-angle tolerance and a distance between each of the two or more proximal vehicles being within a threshold-distance tolerance based on the proximity data, to classify each of the two or more proximate vehicles in the cluster as either a trigger vehicle being closest to the first vehicle or a non-trigger vehicle, and activate a driver assistance function in response to a determination that the trigger vehicle is in an estimated-driving path of the first vehicle.

A driving assist ECU determines that a current situation is a specific situation where it is predicted that there is no object that is about to enter an adjacent lane from an area outside of a host vehicle road on which a host vehicle is traveling, when a road-side object is detected at a part around an edge of the adjacent lane, and/or when a white line painted to define the adjacent lane is detected at the part around the edge of the adjacent lane and no object near the detected white line is detected. The driving assist ECU does not perform a steering control for avoiding a collision, the steering control for letting the vehicle enter the adjacent lane, when it is not determined that the current situation is the specific situation.

A vehicle for estimating a moving path of an object approaching from behind, and determining a probability for entering a rear lane and a probability of collision is provided. The vehicle includes a speed sensor that detects speed information, a direction sensor that detects driving direction information, and a radar that senses an object approaching the vehicle. A controller then estimates a moving path of an object traveling on a rear lane and approaching the vehicle from behind and determines whether the vehicle is able to enter the rear lane, based on the speed information acquired by the speed sensor, the driving direction information acquired by the direction sensor, and data of the object sensed by the radar. Accordingly, the controller detects a probability of collision with the object approaching the vehicle on the rear lane.