Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

A moving object collision warning system for a large vehicle may include: a rear camera module mounted on the rear of at least one side of a large vehicle, and configured to take an image of an object while facing the front of the large vehicle; an image receiving unit configured to receive the image taken by the rear camera module; a moving object determination unit configured to recognize the image received by the image receiving unit, extract an object included in the image, and determine whether the extracted object is a moving object, wherein the moving object includes one or more of a bicycle, a two-wheeled vehicle and a pedestrian; a moving object collision possibility determination unit configured to determine whether the moving object determined by the moving object determination unit is located in a preset danger zone, and output a collision risk signal; a warning unit configured to output a visual or audible warning signal to a driver of the large vehicle; and a control unit configured to operate the warning unit when the moving object collision possibility determination unit outputs the collision risk signal.

A vehicular control system 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 and processed at the control to detect objects present exteriorly of the vehicle. The control receives data relevant to a geographic location of the vehicle. The vehicular control system wirelessly communicates information that is relevant to the geographic location of the vehicle to a remote receiver. The information wirelessly communicated to the remote receiver is derived, at least in part, from image data captured by at least a forward-viewing camera. The vehicular control system, based at least in part on processing at the control of at least one selected from the group consisting of (i) captured image data and (ii) captured radar data, detects another vehicle that is present exterior of the equipped vehicle.

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 control system (200) for a vehicle (1), the control system comprising one or more controllers (201), wherein the control system is configured to: receive (402) information indicative of a weather condition; and in dependence on the information indicative of a weather condition, modify (406) at least one spatial range parameter of a driver assistance system configured to monitor other road users.

Embodiments for using vehicular collaboration for vehicular blind spot detection by a processor. A collaboration of images, capturing one or more non-visible areas to an occupant of a vehicle, may be received from a plurality of collaborative vehicles in substantially close proximity to the vehicle for aiding in determining an object in the one or more non-visible areas.

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 moving object collision warning system for a large vehicle may include: a rear camera module mounted on the rear of at least one side of a large vehicle, and configured to take an image of an object while facing the front of the large vehicle; an image receiving unit configured to receive the image taken by the rear camera module; a moving object determination unit configured to recognize the image received by the image receiving unit, extract an object included in the image, and determine whether the extracted object is a moving object, wherein the moving object includes one or more of a bicycle, a two-wheeled vehicle and a pedestrian; a moving object collision possibility determination unit configured to determine whether the moving object determined by the moving object determination unit is located in a preset danger zone, and output a collision risk signal; a warning unit configured to output a visual or audible warning signal to a driver of the large vehicle; and a control unit configured to operate the warning unit when the moving object collision possibility determination unit outputs the collision risk signal.

A vehicle control device that autonomously controls a vehicle so as not to cause rapid deceleration that leads to a deterioration in ride quality. The vehicle control device controls first and second deceleration, means that reduce a speed at a deceleration rate large than a deceleration rate of the first deceleration means. The vehicle control device includes a blind spot area detecting unit that detects a blind spot area of a sensor that recognizes an external environment, and a blind spot object estimating unit that estimates a blind spot object that is a virtual moving body hidden in the blind spot area. When a vehicle approaches the blind spot area at a speed reduced by the first deceleration means, the vehicle is decelerated by the second deceleration means when a type of a moving body detected by the sensor is different from a type of the blind spot object.

A vehicular control system includes a plurality of cameras that capture image data, at least one radar sensor that senses radar data and a control that processes image data captured by the cameras and sensed radar data. The control, responsive to processing of captured image data, detects lane markers and/or road edges and determines curvature of the road being traveled by the equipped vehicle. The control processes captured image data and sensed radar data to detect vehicles. The control, based on processing of captured image data and/or sensed radar data, detects another vehicle and determines distance from the equipped vehicle to the detected other vehicle. The control may, based at least in part on the detection of another vehicle and the determination of distance from the equipped vehicle to the detected other vehicle, determine whether it is safe for the equipped vehicle to execute a lane change maneuver.