A method and apparatus for side vehicle positioning are provided for positioning a side vehicle accurately. The method includes: converting an original image into an corrected image, the original image being an image shot by an image acquisition device, the corrected image being an image corresponding to the original image under an angle of view of a virtual camera; detecting a wheel feature in a detection region of the corrected image, and acquiring a position of a subimage including the wheel feature in the corrected image; detecting a circle feature in the subimage including the wheel feature, and acquiring a circle detection result, the circle detection result including a position of a circle center of the circle feature in the corrected image and a radius of the circle feature; and acquiring side vehicle positioning information according to the circle detection result.

A method for detecting a possible lane change of a fellow vehicle in the environment of a vehicle, wherein the vehicle is located in a first lane, is provided. A system is also provided having a control unit and at least one sensor device for detecting a possible lane change of a fellow vehicle in the environment of a vehicle, wherein the vehicle is located in a first lane. Furthermore, a vehicle is provided having a system for detecting a possible lane change of a fellow vehicle in the environment of the vehicle, as well as a computer program product for detecting a possible lane change of a fellow vehicle in the environment of a vehicle.

A method for actuating a hydraulic brake system in a motor vehicle, in which a hydraulic brake pressure is generated specific to the wheel, data of a driving environment sensor system being taken into account for detecting the instantaneous lateral distance of the motor vehicle from the desired track.

A control system for a vehicle includes a plurality of cameras, at least one radar sensor, and a control having at least one processor. Captured image data and sensed radar data are provided to the control. The control processes captured image data to detect objects present exteriorly of the vehicle and is operable to determine whether a detected edge constitutes a portion of a vehicle. The control processes sensed radar data to detect objects present exteriorly of the vehicle. The control, based at least in part on processing of (i) captured image data and/or (ii) sensed radar data, detects another vehicle and determines distance from the equipped vehicle to the detected other vehicle. The control, based at least in part on determination of distance from the equipped vehicle to the detected other vehicle, may control a steering system operable to adjust a steering direction of the equipped vehicle.

A driver assistance system for a vehicle includes a vision system, a sensing system and a control. The vision system includes a camera and the sensing system includes a radar sensor. Image data captured by the camera is provided to the control and is processed by an image processor of the control. Responsive to image processing of captured image data, lane markers on the road being traveled along by the equipped vehicle are detected and the control determines a lane being traveled by the equipped vehicle. Radar data generated by the radar sensor is provided to the control, which receives vehicle data relating to the equipped vehicle via a vehicle bus of the equipped vehicle. Responsive at least in part to processing of generated radar data and captured image data, the control detects another vehicle present on the road being traveled along by the equipped vehicle.

A lane-control system suitable for use on an automated vehicle comprising a camera, a lidar-sensor, and a controller. The camera captures an image of a roadway traveled by a host-vehicle. The lidar-sensor detects a discontinuity in the roadway. The controller is in communication with the camera and the lidar-sensor and defines an area-of-interest within the image, constructs a road-model of the roadway based on the area-of-interest, determines that the host-vehicle is approaching the discontinuity, and adjusts the area-of-interest within the image based on the discontinuity.

A traffic lane acquisition section obtains traffic lane information that includes the road shape of a host-vehicle lane, from road map information, based on the detected position of a host vehicle, expressed by position information obtained by a host vehicle position acquisition section. Based on detected positions of traffic lane identification-use objects, contained in object information obtained by an object acquisition section, a lane boundary line identification section identifies lane boundary lines. A region estimation section estimates a displacement-possible region of the host-vehicle lane ahead of the host vehicle, based on the lane boundary lines that are obtained by the lane boundary line identification section. If a predetermined lane reliability condition is not satisfied for the lane boundary lines, then the accuracy of estimating the displacement-possible region is updated by using the road shape of the host-vehicle lane from the traffic lane information obtained by the traffic lane acquisition section.

A vehicle control apparatus includes: a first detection part that detects a peripheral vehicle which is traveling around a vehicle; a control plan generation part that is configured to generate a control plan of the vehicle according to the peripheral vehicle; and a travel control part that is configured to control acceleration, deceleration, or steering of the vehicle according to the control plan, wherein the control plan generation part generates the control plan of the vehicle according to a peripheral vehicle that satisfies a predetermined condition among one or more peripheral vehicles that are detected by the first detection part, and wherein when it is not possible to detect the peripheral vehicle that satisfies the predetermined condition, the control plan generation part is configured to set a virtual vehicle which virtually simulates the peripheral vehicle that satisfies the predetermined condition and generate the control plan of the vehicle.

A braking-system suitable for use on an automated vehicle includes a ranging-sensor, a braking-actuator and a controller in communication with the ranging-sensor and the braking-actuator. The ranging-sensor is used to detect an object proximate to a host-vehicle when the object resides in a field-of-view of the ranging-sensor. The field-of-view defines a bottom-edge of the field-of-view and a boundary of a conflict-zone, where the boundary corresponds to a portion of the bottom-edge. The a braking-actuator used to control movement of the host-vehicle. The controller determines a height of the object, determines a distance to the object, determines a range-rate of the object when the object is in the field-of-view, and activates the braking-actuator when an estimated-distance to the object is less than a distance-threshold, the height of the object is greater than a height-threshold, and the object has crossed the boundary and thereby enters the conflict-zone.

A lane-control system suitable for use on an automated vehicle comprising a camera, a lidar-sensor, and a controller. The camera captures an image of a roadway traveled by a host-vehicle. The lidar-sensor detects a discontinuity in the roadway. The controller is in communication with the camera and the lidar-sensor and defines an area-of-interest within the image, constructs a road-model of the roadway based on the area-of interest, determines that the host-vehicle is approaching the discontinuity, and adjusts the area-of-interest within the image based on the discontinuity.