A computer is programmed to identify a target vehicle to be monitored and to identify first and second virtual boundaries on a roadway based on a position of the target vehicle. The computer is further programmed to determine a first constraint value based on (1) a first boundary approach velocity and (2) a first boundary approach acceleration and a second constraint value based on (1) a second boundary approach velocity and (2) a second boundary approach acceleration. The computer is further programmed to identify a maneuver of the target vehicle based on whether the first and second constraint values violate respective thresholds or a position of the target vehicle relative to the first and second virtual boundaries violates a threshold and to adjust a path of a host vehicle according to the identified maneuver.

A computer-implemented method, apparatus, and system for receiving and calibrating lateral deviation values and for controlling an autonomous vehicle to correct the lateral deviation is described. In every perception and planning cycle, a single lateral deviation value representative of an estimated autonomous vehicle lateral deviation from a reference line (e.g., corresponding to a center of the lane) is generated based on camera detection. The deviation value for a present cycle is received. A calibrated deviation value can be updated for the present cycle based on the received deviation value and a Gaussian distribution model. Control signals for the present cycle are generated to drive the autonomous vehicle to at least partially correct the autonomous vehicle lateral deviation based on the updated calibrated deviation value.

A parking assist system includes: an imaging device configured to capture an image of a surrounding of a vehicle; a display device configured to display a surrounding image of the vehicle based on the image captured by the imaging device; and a control device configured to control a display of the display device based on the surrounding image and to calculate a trajectory of the vehicle from a current position to a target position. In a case where the trajectory includes a switching position for steering the vehicle and changing a moving direction thereof and the vehicle is moving toward the switching position, the control device causes the display device to superimpose the switching position on the surrounding image and to hide at least a first part of the trajectory, the first part connecting the switching position and the target position.

A method of controlling autonomous driving of a vehicle includes: selecting a target object ahead of the vehicle based on driving information, generating a velocity profile for maintaining a desired distance to the target object, calculating a desired acceleration based on the velocity profile and a delay time of the vehicle, and controlling an actuator of the vehicle based on the desired acceleration.

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 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 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 are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image of an environment of the host vehicle; detect, based on analysis of the image, a pedestrian crosswalk in the image; detect a presence of a traffic light and determine whether the traffic light is relevant to the host vehicle and the pedestrian crosswalk; determine a state of the traffic light; determine, when a pedestrian appears in the image, a proximity of the pedestrian relative to the pedestrian crosswalk; determine a planned navigational action for navigating the host vehicle relative to the pedestrian crosswalk based on a driving policy, the state of the traffic light and the proximity of the pedestrian relative to the pedestrian crosswalk; and cause one or more actuator systems of the host vehicle to implement the planned navigational action.

A driving warning method applied to a vehicle-mounted device is provided. The method includes detecting a moving object and a moving direction of the moving object by using at least one external sensor when a vehicle is moving. A driving behavior of a driver of the vehicle is monitored by using at least one internal sensor when the moving object and the moving direction of the moving object are detected. Once the moving direction of the moving object is not parallel to a moving direction of the vehicle and a sight direction of the driver does not cross the moving direction of the moving object, a first warning is transmitted.

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify a target vehicle in the environment of the host vehicle; predict a resulting distance between the host and target vehicles if the planned action were taken; determine a host vehicle stopping distance based on a braking rate, maximum acceleration capability, and current speed of the host vehicle; determine a target vehicle stopping distance based on a braking rate and current speed of the target vehicle; and continue with the planned navigational action while the predicted distance is greater than a minimum safe longitudinal distance calculated based on the host vehicle stopping distance and the target vehicle stopping distance.