Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a primary vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the primary vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: locate in the plurality of images a leading vehicle; determine, based on the plurality of images, at least one action taken by the leading vehicle; and cause the primary vehicle to mimic the at least one action of the leading vehicle.

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.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: receive the plurality of images via the data interface; determine from the plurality of images a current lane of travel from among a plurality of available travel lanes; and cause the vehicle to change lanes if the current lane of travel is not the same as a predetermined default travel lane.

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.

A forward-facing vision system for a vehicle includes a forward-facing camera disposed in a windshield electronics module attached at a windshield of the vehicle and viewing through the windshield. A control includes a processor that, responsive to processing of captured image data, detects taillights of leading vehicles during nighttime conditions and, responsive to processing of captured image data, detects lane markers on a road being traveled by the vehicle. The control, responsive to lane marker detection and a determination that the vehicle is drifting out of a traffic lane, may control a steering system of the vehicle to mitigate such drifting, with the steering system manually controllable by a driver of the vehicle irrespective of control by the control. The processor, based at least in part on detection of lane markers via processing of captured image data, determines curvature of the road being traveled by the vehicle.

A travel control device includes: a vehicle detection device configured to detect a position of a peripheral vehicle that travels in a periphery of a host vehicle in a lane, in which the host vehicle travels, or a lane adjacent to and heading in a same direction of the host vehicle; a generation device configured to assign a potential field to a predetermined region, which is adjacent to the position of the peripheral vehicle, the potential field indicating a degree of psychological pressure received by a driver of the host vehicle, and configured to generate a potential distribution that represents a distribution of the potential field of the peripheral vehicle on a road; and a control device configured to control a travel condition of the host vehicle that the host vehicle travels in the potential field relatively low in the potential distribution.

A driver assistance system for a vehicle includes a forward-viewing camera disposed in a windshield electronics module attached at a windshield of the vehicle and viewing through the windshield. A control includes a processor that, responsive to processing of captured image data, detects lane markers on a road being traveled by the vehicle. The processor determines curvature of the road being traveled by the vehicle and detects another vehicle that is present exterior of the equipped vehicle and determines that the detected other vehicle is in the same traffic lane as the equipped vehicle or is in an adjacent traffic lane. The processor processes captured image data to determine distance from the equipped vehicle to the detected other vehicle that is present exterior of the equipped vehicle and within the exterior field of view of the forward-viewing camera. The processor processes captured image data for vehicle speed control.

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.