Systems and methods are provided for navigating a host vehicle. In one implementation, a system may include a processing device configured to receive an image acquired by an image capture device; determine a planned navigational action for accomplishing a navigational goal of the host vehicle; analyze the at least one image to identify a first target vehicle ahead of the host vehicle and a second target vehicle ahead of the first target vehicle; determine a next-state distance between the host vehicle and the second target vehicle that would result if the planned navigational action was taken; determine a stopping distance for the host vehicle based on a maximum braking capability of the host vehicle and a current speed of the host vehicle; and cause the vehicle to implement the planned navigational action if the stopping distance is less than the determined next-state distance.

The present disclosure relates to navigational systems for vehicles. In one implementation, such a navigational system may receive a first output from a first sensor and a second output from a second sensor; identify a target object in the first output; determine whether the target object is included in the second output; and determine a detected driving condition associated with the target object and whether the condition triggers a navigational constraint. If the navigational constraint is not triggered, the system may cause a first navigational adjustment if the target object is included in both the first output and the second output, and may forego any navigational adjustments if the target object is included in the first output but not in the second output. If the navigational constraint is triggered and the target object is included either in the first or second output, the system may cause a second navigational adjustment.

A vehicle system includes a processor with access to a memory storing instructions executable by the processor. The instructions include determining whether an autonomous host vehicle can traverse an environmental obstacle, and if the autonomous host vehicle can traverse the environmental obstacle, controlling an active suspension system in accordance with the environmental obstacle and controlling the autonomous host vehicle to traverse the environmental obstacle.

The present disclosure relates to a method for autonomously guiding a motor vehicle. The method includes receiving a reference trajectory, by means of which a continuous sequence of steering maneuvers, acceleration maneuvers, or braking maneuvers is determined for a route to be traveled by the motor vehicle. The method also includes detecting data on the surroundings via a detection device of the motor vehicle, and checking the navigability of the reference trajectory on the basis of the data on the surroundings. The method further includes generating a driving trajectory by correcting the reference trajectory on the basis of the data on the surroundings, and guiding the motor vehicle autonomously along the driving trajectory via a control device of the motor vehicle. In order to enable a particularly anticipatory planning of the driving trajectory, the reference trajectory is used, which is configured independent of the data on the surroundings. The reference trajectory can be based on track data, through which a track course of a road is described, where the route to be traveled by the motor vehicle extends along the track course of the road.

The present disclosure relates to a vehicle control device provided in a vehicle and a method for controlling the vehicle. A vehicle control device provided in a vehicle according to the present disclosure, as a vehicle control device for controlling the vehicle, may include a communication unit configured to receive a map having a plurality of layers from a server; and a processor configured to generate a control signal for driving the vehicle using the map, wherein a control region that is a reference for the generation of the control signal around a location of the vehicle is defined differently according to a preset reference.

A computer-implemented method for stopping an autonomous vehicle at a stopping location defined by a protrusion or a recess formed with respect to a ground surface on which the vehicle is travelling is provided. The method includes detecting that at least a portion of the vehicle is located above the protrusion or recess, in response to said detection, initiating a stop of the vehicle. Detecting that at least a portion of the vehicle is located above the protrusion or recess may include detecting an increase in engine torque or power, and/or detecting a difference in vehicle-to-ground distance.

An autonomous vehicle includes processor circuitry to control a lateral position of the autonomous vehicle during autonomous driving at least based on a default lateral position and a user interface arranged to receive an input indicative of an off-set of the lateral position from a user of the autonomous driving vehicle, wherein the processor circuitry is arranged to receive, from the user interface, information regarding the off-set of the lateral position of the autonomous driving vehicle during driving in the lateral position, calculate a maximum right and a maximum left off-set of the lateral position, calculate a dynamic off-set value based on the received off-set and the maximum right and the maximum left off-set, adjust the lateral position based on the off-set information, and control the lateral position at least based on the dynamic off-set value and the default lateral position of the autonomous driving vehicle.

A navigation system for a host vehicle is provided. The system may comprise at least one processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify at least one vehicle-induced occlusion zone in an environment of the host vehicle; and cause a navigational change for the host vehicle based, at least in part, on a size of a target vehicle that induces the identified occlusion zone.

Systems and methods are provided for navigating based on sensed brake light patterns. In one implementation, a navigation system for a host vehicle may include at least one processing device. The at least one processing device may be programmed to receive, from a camera, a plurality of images representative of an environment ahead of the host vehicle; analyze the plurality of images to identify at least one target vehicle in the environment ahead of the host vehicle; identify, based on analysis of the plurality of images, at least one brake light associated with the target vehicle and at least one characteristic associated with changes in an illumination state of the at least one brake light; and cause a navigational change for the host vehicle based on the identified at least one characteristic associated with the changes in the illumination state of the at least one brake light.

Systems and methods are provided for navigating based on behaviors of following vehicles. In one implementation, a navigation system for a host vehicle may include at least one processing device. The at least one processing device may be programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a first target vehicle and a second target vehicle in the environment of the host vehicle; analyze the plurality of images to determine a distance between the first target vehicle and the second target vehicle; and determine, from the plurality of images, a time to reach a boundary associated with one of the first target vehicle and the second target vehicle, wherein the determined time exceeds a first threshold and does not exceed a second threshold.