A method for anticipating a lane change by another vehicle ahead of a vehicle equipped with a sensing system having a camera and a radar sensor includes processing captured image data to determine lane markers of a traffic lane along which the equipped vehicle is traveling, and to determine presence of another vehicle in an adjacent traffic lane. Responsive to processing of captured radar data, an oblique angle of a direction of travel of the other vehicle relative to the traffic lane is determined. Responsive to determination that the oblique angle of the direction of travel of the other vehicle is indicative of a cut-in intent of the other vehicle, and based on the determined range to the determined other vehicle, the system anticipates the cut-in of the other vehicle and applies a braking system of the equipped vehicle to mitigate collision with the determined other vehicle.

A system for mapping road segment free spaces for use in autonomous vehicle navigation. The system includes at least one processor programmed to: receive from a first vehicle one or more location identifiers associated with a lateral region of free space adjacent to a road segment; update an autonomous vehicle road navigation model for the road segment to include a mapped representation of the lateral region of free space based on the received one or more location identifiers; and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

A system for mapping traffic lights and associated traffic light cycle times for use in autonomous vehicle navigation. The system includes at least one processor programmed to: receive at least one location identifier associated with a traffic light detected along a road segment; receive at least one indicator of traffic light state timing associated with the detected traffic light; and update an autonomous vehicle road navigation model relative to the road segment. The update can be based on the at least one location identifier and based on the at least one indicator of traffic light state timing associated with the traffic light detected along the road segment. The processor may also include distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

A navigation system for a vehicle is provided. The system includes at least one processor programmed to: receive from an image capture device one or more images representative of an environment of the vehicle; analyze the one or more images to determine navigational information related to the vehicle; determine based on analysis of at least one of: the one or more images, an output of one or more sensors, or the determined navigational information, whether a fault condition exists relative to the determined navigational information; transmit the navigational information from the vehicle to a server if a fault condition is determined not to exist; and forego transmission of the navigational information from the vehicle to a server if a fault condition is determined to exist.

A system for mapping a lane mark for use in autonomous vehicle navigation is provided. The system includes at least one processor programmed to: receive two or more location identifiers associated with a detected lane mark; associate the detected lane mark with a corresponding road segment; update an autonomous vehicle road navigation model relative to the corresponding road segment based on the two or more location identifiers associated with the detected lane mark; and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

A navigation system includes a processing device programmed to receive, from an image capture device, at least one image of an environment of the host vehicle; determine, based on at least one driving policy, a navigational action for accomplishing a navigational goal of the host vehicle; analyze the at least one image to identify a target vehicle; test the navigational action against at least one accident liability rule for determining potential accident liability for the host vehicle relative to the target vehicle; if the test indicates that potential accident liability exists for the host vehicle if the navigational action is taken, then cause the host vehicle not to implement the navigational action; and if the test indicates that no accident liability would result for the host vehicle if the navigational action is taken, then cause the host vehicle to implement the navigational action.

Systems and methods are provided for crowdsourcing road surface information collection. In one implementation, a method of collecting road surface information for a road segment may include receiving at least one image representative of a portion of the road segment, identifying in the at least one image at least one road surface feature along the portion of the road segment, determining a plurality of locations associated with the road surface feature according to a local coordinate system of the vehicle, and transmitting the determined plurality of locations from the vehicle to a server. The determined locations may be configured to enable determination by the server of a line representation of the road surface feature extending along the road segment.

A system for mapping a lane mark for use in autonomous vehicle navigation is provided. The system includes at least one processor programmed to receive two or more location identifiers associated with a detected lane mark, associate the detected lane mark with a corresponding road segment, update an autonomous vehicle road navigation model relative to the corresponding road segment based on the two or more location identifiers associated with the detected lane mark, and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

An autonomous or semi-autonomous vehicle and maneuvering method for a vehicle for overcoming an obstacle may include detecting the obstacle in front of and/or behind the motor vehicle by a detection device, moving the motor away from the obstacle to come to a standstill at a defined distance x, wherein the running direction of a wheel is facing towards the obstacle. The method may also include accelerating the motor vehicle toward the obstacle within a power-limiting range of a drive unit of the vehicle. The power-limiting range may be a power-limiting range of an electric motor powering the vehicle.

A vehicle control device controls a vehicle including a first driving device and a second driving device having a maximum driving force that is smaller than a maximum driving force of the first driving device. The vehicle control device includes a control unit configured to, in a state where the vehicle is driven by a second driving force, if a determination unit determines that there is a step on the route of the vehicle, drive the vehicle by at least a first driving force.