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 drive assistance device includes an automatic brake unit configured to perform automatic brake control, a brake hold unit configured to perform a brake hold control keeping the vehicle stopped, a brake hold cancel unit configured to cancel the brake hold control when it is determined that a predetermined cancel condition is satisfied, a surroundings information obtaining unit configured to obtain surroundings information indicating a situation around the vehicle, a maneuver information obtaining unit configured to obtain maneuver information about a driving maneuver performed by a driver of the vehicle, a maneuver determination unit configured to determine, based on the surroundings information and the maneuver information whether the driving maneuver performed during the brake hold control is appropriate for the situation around the vehicle, and a prohibition unit configured to prohibit cancelling the brake hold control as long as it is determined that the driving maneuver is inappropriate.

According to an embodiment, an information processing device includes a memory and one or more hardware processors electrically coupled to the memory and configured to function as a change unit, and a display controller. The change unit is configured to change a reference path to a position at a lateral distance when the lateral distance obtained from lateral environmental information indicating a lateral environment of the reference path referred to as a scheduled running path of a moving body is larger than a distance from a lateral end to a center of a running region of the moving body. The display controller is configured to display display information including the reference path on a display unit.

Aspects of the disclosure relate to detecting sidewalks adjacent to roads. In this regard, a set of potential sidewalk areas adjacent to one or more roads in a vehicle's vicinity may be determined based on map data. Topology data for the set of potential sidewalk areas may be generated based on sensor data received from a perception system of the vehicle. The set of potential sidewalks may be filtered to remove areas unlikely to include a sidewalk. The vehicle may be operated based on the filtered set of potential sidewalk areas, which may include taking precautionary measures when within a predetermined distance from any of the filtered set of potential sidewalks.

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.

Embodiments for operational envelope detection (OED) with situational assessment are disclosed. In some embodiments, a method comprises: determining at least one current or future constraint for a trajectory of a vehicle in an environment that is associated with the vehicle becoming immobile for an extended period of time; determining a stopping-reason for immobility of the vehicle based on determining the at least one current or future constraint for the trajectory of the vehicle in the environment; identifying a timeout threshold based on the stopping-reason, wherein the timeout threshold is an amount of time a planning system of the vehicle will wait before initiating at least one remedial action to address the immobility; identifying that the timeout threshold is satisfied; and initiating the at least one remedial action for the vehicle based on the identifying that the timeout threshold is satisfied.