This application discloses a method and an apparatus for detecting a complexity of a traveling scenario of a vehicle, comprising: obtaining a travelling speed of the vehicle and a travelling speed of a target vehicle; determining, based on the traveling speed of the vehicle and the traveling speed of the target vehicle, a dynamic complexity of a traveling scenario in which the vehicle is located; determining static information of each static factor in the traveling scenario in which the vehicle is currently located; obtaining, based on the static information of each static factor, a static complexity of the traveling scenario in which the vehicle is located; and obtaining, based on the dynamic complexity and the static complexity, a comprehensive complexity of the traveling scenario in which the vehicle is located.

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 cruise control device 10 includes a cutting-in/deviation determination unit 12 for performing cutting-in determination and deviation determination of another vehicle. The cutting-in/deviation determination unit 12 calculates a lateral position that is a position in a vehicle width direction of a forward vehicle 51 traveling ahead of an own vehicle 50, and determines the forward vehicle 51 traveling on an adjacent lane 64 to be a cutting-in vehicle into an own lane 63 and determines the forward vehicle 51 traveling on the own lane 63 to be a deviating vehicle from the own lane 63 on the basis of the calculated lateral position. The cutting-in/deviation determination unit 12 determines whether or not the own vehicle 50 is in a predetermined own vehicle turning state that is either one of a state before starting a turn or a state of turning, and determines permission of performing of cutting-in determination and deviation determination of the other vehicle on the basis of the determination result.

An apparatus for warning the collision of a vehicle includes an information acquirer configured to acquire information on a surrounding object and information on a vehicle, and a controller configured to generate collision predicting information for the surrounding object, based on the information on the surrounding object and the information on the vehicle, and generate control information to control braking of the vehicle and to provide, based on the collision predicting information, a buffer element to an outside of the vehicle while controlling the braking of the vehicle.

A driving assist device includes a first sensor, a second sensor, and a control device. The control device does not execute an inter-vehicle distance control under a predetermined first condition upon determination that at least one preceding object is detected based on the output of one of the first sensor and the second sensor without being detected based on the output of the other of the first and second sensors; and an environment of a non-detection sensor that is the other of the first and second sensors satisfies a first requirement for determination of a reliability of the output of the non-detection sensor; and the control device executes the inter-vehicle distance control under a predetermined second condition upon determination that the environment of the non-detection sensor satisfies a second requirement for determination of the reliability of the output of the non-detection sensor.

A method for determining a lane change, performed by an apparatus for determining a lane change of an object located around a driving vehicle with which is equipped a sensor, the method including, detecting a plurality of objects located around the driving vehicle using scanning information obtained repeatedly at every predetermined period of time by the sensor scanning surroundings of the driving vehicle, selecting at least one candidate object estimated to change lanes among the plurality of objects based on previously detected lane edge information and determining whether the candidate object changes lanes based on information on movement of the candidate object.

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 controlling and warning system based on traffic conditions feedback and a method thereof are disclosed. In the controlling and warning system, a camera disposed on a rear of a vehicle body is configured to generate and transmit a rear video to a controlling host, and the controlling host identifies a vehicle object in the rear video and calculates a separation distance between the vehicle object and the vehicle body; the vehicle object is inputted into a large-sized vehicle recognition model which is built based on artificial intelligence neural network and trained completely, to recognize whether the vehicle object is a large-sized vehicle; when the vehicle object is recognized as the large-sized vehicle and the separation distance reaches to a safe distance, a warning signal is generated. Therefore, the technical effect of improving the warning immediacy of an approaching large vehicle can be achieved.

Techniques for determining occupancy using unobstructed sensor emissions. For instance, a vehicle may receive sensor data from one or more sensors. The sensor data may represent at least locations to points within an environment. Using the sensor data, the vehicle may determine areas within the environment that are obstructed by objects (e.g., locations where objects are located). The vehicle may also use the sensor data to determine areas within the environment that are unobstructed by objects (e.g., locations where objects are not located). In some examples, the vehicle determines the unobstructed areas as including areas that are between the vehicle and the identified objects. This is because sensor emissions from the sensor(s) passed through these areas and then reflected off of objects located farther distances from the vehicle. The vehicle may then generate a map indicating at least the obstructed areas and the unobstructed areas within the environment.

A surrounding situation information acquisition device acquires surrounding situation information of a vehicle. A steering angle sensor detects a steering angle and a steering direction of the vehicle. A steering assist controller executes traveling control involving steering assist control based on information output from the surrounding situation information acquisition device and information output from the steering angle sensor. The steering assist controller recognizes, based on the information output from the surrounding situation information acquisition device, an oncoming vehicle in an oncoming lane adjacent to a traveling lane of the vehicle and an avoidance target on a road shoulder side of the traveling lane of the vehicle, estimates an avoidance priority level of the oncoming vehicle and an avoidance priority level of the avoidance target, and sets a new target lane keeping traveling path of the vehicle based on the avoidance priority levels.