A driving assistance method for controlling an own vehicle by a controller in such a way that the own vehicle travels along a target travel trajectory includes: acquiring level-difference information of a level difference existing along a lane in which the own vehicle travels; and when, from the level-difference information, determining that the own vehicle is to climb over the level difference, generating the target travel trajectory in such a way that a level-difference climbing-over angle, which is an angle formed by the level difference and the target travel trajectory, is larger than a threshold value.

The present disclosure relates to a camera system for an advanced driving assistance system (ADAS). For example, a voltage logic and a memory logic are used in a front-view camera system for an ADAS. The camera system includes a lens configured to capture a region ahead of a vehicle, a lens barrel configured to accommodate the lens in an internal space thereof, a lens holder coupled to the lens barrel, an image sensor configured to sense an image captured by the lens, an image processor configured to receive image data from the image sensor and process the received image data, and a camera micro-control unit (MCU) configured to communicate with the image processor and receive the data processed by the image processor.

A vehicle control apparatus that controls a vehicle, comprising a controller configured to execute lane departure suppression control to suppress the vehicle from departing from a division line, wherein in a case in which the shape of a road is a curve, the controller delays an operation timing of the lane departure suppression control compared to a case in which the shape of the road is not the curve, and in a case in which the shape of the road is the curve and an oncoming vehicle is detected, the controller decreases an amount of delay of the operation timing of the lane departure suppression control compared to a case in which the shape of the road is the curve and the oncoming vehicle is not detected.

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.

Provided is a driving assist device 10 that recognizes an object in the vicinity of a moving body, and assists a driver in driving the moving body, the apparatus including: an object detecting unit 12 that detects the object in the vicinity of the moving body; a three dimensional object detecting unit 13 that detects a three dimensional object in the vicinity of the moving body; and an object recognition unit 18 that recognizes the object at a predetermined detection position as a non-obstacle when the object information storing unit 16 stores the position of the object, and the three dimensional object information storing unit 17 does not store the position of the three dimensional object at the predetermined position in which detection is performed by both of the object detecting unit 12 and the three dimensional object detecting unit 13.

A system for predicting a collision risk in lane change decision based on a radar sensor, includes radar sensors disposed at a front portion and a rear portion of a host vehicle to recognize a forward vehicle positioned at a front-side portion of the host vehicle and a rearward vehicle positioned at a rear-side portion of the host vehicle, respectively, and a moving controller configured to determine that the host vehicle is able to change a lane, when a position of a counterpart vehicle, which is measured through the radar sensor, is not included in a section of the local map, and when a relative acceleration of the counterpart vehicle is maintained in an allowance range for a specific time.

The present disclosure provides a technology that can preferably improve the usability when a user wearing a hearable device boards a vehicle. In an information processing device according to the present disclosure, a controller obtains a drive mode of a vehicle in which a user wearing the hearable device rides. When the drive mode of the vehicle is an automatic drive mode, the controller permits the operation mode of the hearable device to be set to a first mode. On the other hand, when the drive mode of the vehicle is a manual drive mode and a user wearing a hearable device is a user performing a drive operation of the vehicle, the controller sets the operation mode of the hearable device to a second mode.

The invention relates to a vehicle control device adapted to be mounted in a host vehicle (H), the vehicle control device comprising an environment monitoring unit adapted and configured to monitor the environment of the host vehicle (H) and to provide corresponding environment monitoring data, and a lane change request generating unit adapted and configured to determine based upon the environment monitoring data whether the generation of a request for a lane change of the host vehicle (H) from a current lane (CL) to a lower-ranking lane (RL) is to be initiated (arrow A6a) or is to be suppressed (arrow A6b), if the environment monitoring data indicate that at least one succeeding vehicle (S) driving in the same lane as the host vehicle (H) approaches the host vehicle from behind at a speed higher than the speed of the host vehicle (H).

A real-time assessment method of driving risk based on equivalent force includes: S1, collecting traffic environment information and various types of traffic environment use object information in a road environment in an area to be assessed; S2, inputting, into an electronic control unit of a vehicle, the traffic environment use object information and the environment information acquired in S1, wherein a road risk assessment model based on the equivalent force distribution is preset in the electronic control unit; S3, using the road risk assessment model, so as to acquire road traffic risk E of the vehicle i and equivalent force distribution F.sub.ij between the vehicle i and the object j in different traffic environments, wherein the object j represents any traffic element other than vehicle i in various traffic environment use object information. A real-time assessment device of driving risk based on equivalent force is further provided.

A vehicle is provided. The vehicle includes a camera configured to detect a target object in a parking space and a controller programmed to advance the vehicle into the parking space based on a yaw angle of the vehicle and a distance to the target object in response to the camera detecting the presence of the target object. The distance to the target object is based on a vector representing a boundary of the target object.