A computing device configured to: obtain images representative of an environment of a host vehicle, the host vehicle traveling on a roadway; detect, from the images, a mark located on the roadway; identify, from the images, points corresponding to the mark on the roadway; identify the mark as a type of roadway marking, corresponding to the identified points, the type of roadway marking selected from multiple types of roadway markings; determine a position of the mark on the roadway relative to the host vehicle, using the identified points corresponding to the mark; and determine a trajectory to navigate the host vehicle on the roadway, based on the position of the mark within the roadway and the type of roadway marking.

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 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 system for mapping traffic lights and for determining traffic light relevancy for use in autonomous vehicle navigation. The system may include at least one processor programmed to: receive at least one location identifier associated with a traffic light; receive a state identifier associated with the traffic light; receive navigational information indicative of one or more aspects of motion of the first vehicle along the road segment, and determine, based on the navigational information, a lane of travel traversed by the first vehicle along the road segment. The processor may also determine whether the traffic light is relevant to the lane of travel traversed by the first vehicle; update an autonomous vehicle road navigation model relative to the road segment; and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

A system for vehicle navigation is provided. The system includes at least one processing circuitry programmed to receive via a data interface one or more images captured by one or more cameras representative of an environment of a vehicle, identify, based on analysis of the one or more images, at least one direction of at least one directional arrow on a road surface in the one or more images, determine a direction of travel for the vehicle based on the at least one direction of the at least one directional arrow on the road surface, determine at least one navigational action for the vehicle based on the determined direction of travel for the vehicle, and cause one or more actuator systems of the vehicle to implement the determined at least one navigational action for the vehicle.

An electric delivery truck control system is disclosed. Sensors detect operation parameters associated with the electric delivery truck as the electric delivery truck maneuvers along the roadway. An electric delivery truck control unit detects electric delivery truck control inputs associated with an operation of the electric delivery truck. The electric delivery truck control inputs are generated from an operation of the electric delivery truck. An operation parameter controller automatically adjusts the operation of the electric delivery truck as the electric delivery truck maneuvers along the roadway to maintain the operation of the electric delivery truck within an operation threshold based on the detected driving parameters and the electric delivery truck control inputs. The operation threshold is the operation of the electric delivery truck that is maintained with an overall power storage of the electric delivery truck thereby enabling the electric delivery truck to execute a route by consuming power stored in the overall power storage of the electric delivery truck.

A hitch assist system is provided herein that includes a sensing system configured to detect a trailer proximate a vehicle. The hitch assist system also includes a controller for determining an environmental visibility level; determining an offset from a first sensor in high visibility levels and from a second sensor in low visibility levels; and maneuvering the vehicle along a path to align a hitch ball with a coupler of the trailer.