An advanced driving assistance system (ADAS) provides collision avoidance control for a host vehicle. The system can include one or more sensors mounted to the host vehicle and configured to sense a driving lane in which the host vehicle is traveling and to sense an external vehicle partially engaged in the driving lane. A controller controls steering, braking, or acceleration of the host vehicle on the basis of sensing information received from the sensor. The controller determines the external vehicle partially engaged in the driving lane as a target vehicle having at least a part thereof overlapping with a lane mark of the driving lane, and performs longitudinal braking or acceleration control or lateral steering control on the host vehicle based on lateral and longitudinal positional relationships between the host vehicle and the target vehicle.

A system for creating a driving route of a vehicle includes: a vehicle selecting device to select a surrounding vehicle that is adjacent to a host vehicle; an intention determining device to determine an intention of the surrounding vehicle by using information including a location and a speed of the surrounding vehicle; a driving route predicting device to predict a driving route of the surrounding vehicle based on the determined intention of the surrounding vehicle; a map creating device to create a map by using the predicted driving route of the surrounding vehicle; and a driving route creating device to create a driving route of the host vehicle.

An information processing device for a vehicle includes an object detecting unit, an object information storage unit, and an object information management unit. The object detecting unit detects, based on an output of a sensor mounted on the vehicle, an object located around the vehicle. The object information storage unit stores, as object information, information about the object detected by the object detecting unit. The object information management unit is configured to: receive, from a travelling assistance unit that performs an assistance operation of assisting travelling of the vehicle based on the object information, related information, the related information being related to the assistance operation performed by the travelling assistance unit; determine storage priority of the object information in the object information storage unit based on the related information; and manage a storage state of the object information in the object information storage unit based on the storage priority.

Disclosed is a vehicle control method, including: obtaining a first velocity planned for an intelligent vehicle to travel in a first area; and obtaining a second velocity planned for the vehicle to travel in the first area, where the second velocity is obtained based on a collision potential energy, the first velocity and the second velocity each include a direction and a magnitude, and the first velocity, the second velocity, and a risk of a collision between the vehicle and a surrounding obstacle are used to determine an optimal velocity of the vehicle, so that the vehicle can effectively avoid the obstacle, thereby improving traveling safety of the vehicle. Also disclosed are a vehicle control apparatus, a vehicle controller, and a vehicle.

A vehicle control apparatus includes an electric control unit that performs a preceding vehicle trailing control which makes an own vehicle trail a preceding vehicle as an adaptive cruise control, and performs a first brake control which automatically applies a first braking control to the own vehicle when a time-to-collision to a target object is less than a first threshold. In a case where a performing condition for the first brake control has been determined to be satisfied during a performance of the adaptive cruise control, the electric control unit continues performing the adaptive cruise control without performing the first brake control when a deceleration control by the adaptive cruise control is being performed, whereas stops performing the adaptive cruise control when the deceleration control by the adaptive cruise control is not being performed.

A method and system for target detection of a vehicle is proposed. In the method and system, when the vehicle is turning, a warning signal according to a risk level of collision is generated at the right timing as a risk level of collision between the host vehicle and the other vehicle behind the host vehicle may be accurately identified by correcting a driving path of the host vehicle and position of the other vehicle on the basis of a driving state of the host vehicle.

A computer-implemented method for controlling a vehicle system of a host vehicle merging into a lane. The method includes determining an actual distance between the host vehicle and the one or more remote vehicles. The actual distance is a longitudinal distance between the host vehicle and the one or more remote vehicles. The method includes determining a safe distance for merging into the lane based on a relative position of the host vehicle to the one or more remote vehicles, a speed of the host vehicle, and a speed of the one or more remote vehicles. The safe distance is a second longitudinal distance between the host vehicle and the one or more remote vehicles. The method includes controlling the vehicle system of the host vehicle to assist a merge maneuver by the host vehicle according to the actual distance and the safe distance.

A computer-implemented method for controlling a host vehicle having a vehicle control system that controls motion of the host vehicle relative to a preceding vehicle that is immediately ahead of the host vehicle. The method includes determining a relative headway distance and a relative velocity between the host vehicle and the preceding vehicle, and an acceleration rate of the preceding vehicle. The method includes receiving message packets transmitted from a leading vehicle and the message packets contain parameters of the leading vehicle including an acceleration rate of the leading vehicle. Further, the method includes calculating an acceleration control rate for the host vehicle to maintain the headway reference distance between the host vehicle and the preceding vehicle, based on the relative headway distance, the relative velocity, the acceleration rate of the preceding vehicle, and the acceleration rate of the leading vehicle. The acceleration rate is output to a vehicle controller to control motion of the host vehicle.

An autonomous vehicle is configured to estimate a change in direction of a vehicle that is on a roadway and is proximate to the autonomous vehicle. The autonomous vehicle has a mechanical system, one or more sensors that generate one or more sensor signals, and a computing system in communication with the mechanical system and the one or more sensors. The autonomous vehicle is configured to detect an imminent lane change by another vehicle based on at least one of a computed angle between a wheel of the other vehicle and a longitudinal direction of travel of the other vehicle, a degree of misalignment between the wheel of the other vehicle and a body of the other vehicle, and/or an eccentricity of the wheel of the other vehicle. The mechanical system of the autonomous vehicle is controlled by the computing system based upon the detected imminent lane change.

The present disclosure relates to a camera system for an advanced driving assistance system (ADAS). The ADAS includes a voltage logic and a memory logic that may be used in a front-view camera system. The ADAS includes a scheme capable of coupling a lens barrel and a lens holder in a front-view camera system. The camera system according to the present disclosure 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.