A vehicular trailer sway management system includes at least one rearward-sensing radar sensor disposed at a vehicle and an electronic control unit (ECU). Radar data captured by the at least one rearward-sensing radar sensor is provided to the ECU. With a trailer hitched to the vehicle, the trailer sway management system, via processing at the ECU of the provided captured radar data, determines oblique angles of the trailer relative to the vehicle. As the vehicle tows the trailer, and responsive to monitoring of determined oblique angles of the trailer relative to the longitudinal axis of the vehicle, the trailer sway management system determines sway of the trailer relative to the vehicle. Responsive to the determined sway of the trailer relative to the vehicle, the trailer sway management system at least in part controls operation of the vehicle to manage sway of the trailer relative to the vehicle.

Systems and methods of processing crowdsourced navigation information for use in autonomous vehicle navigation are disclosed. A method may include processing, by a mapping server, crowdsourced navigation information from a plurality of vehicles obtained by sensors coupled to the plurality of vehicles, wherein the navigation information describes road lanes of a road segment; collecting data about landmarks identified proximate to the road segment, the landmarking including a traffic sign; generating, by the mapping server, an autonomous vehicle map for the road segment, wherein the autonomous vehicle map includes a spline corresponding to a lane in the road segment and the landmarks identified proximate to the road segment; and distributing, by the mapping server, the autonomous vehicle map to an autonomous vehicle for use in autonomous navigation over the road segment.

Systems and methods are disclosed for identifying landmarks. A method for identifying a landmark may include initiating identification of a landmark based on one or more images from a camera, for use in autonomous vehicle navigation, the landmark including a traffic sign; initiating updating a road model with a location of the landmark; and initiating distribution of the road model with the location of the traffic sign to a plurality of autonomous vehicles.

Systems and methods are disclosed for providing maps to an autonomous vehicle. Methods include maintaining a road model that includes trajectories associated with a road segment, the trajectories used to assist the autonomous vehicle to navigate on a target trajectory consistent with the road model; determining, based on analysis of image data, an existence of a non-transient condition that is inconsistent with the road model, the image data from a camera integrated with the autonomous vehicle, wherein the autonomous vehicle is configured to deviate from the target trajectory based on the existence of the non-transient condition; and storing information about the non-transient condition for updating the road model.

The technology relates to maneuvering a vehicle prior to making a turn from a current lane of the vehicle. As an example, a route that includes making the turn from the lane is identified. An area of the lane prior to the turn having a lane width of at least a predetermined size is also identified. Sensor data identifying an object within the lane is received from a perception system of a vehicle. Characteristics of the object, including a location of the object relative to the vehicle, are identified from the sensor data. The vehicle is then maneuvered through the area prior to making the turn using the identified characteristics.

An autonomous vehicle includes a detection system for identifying the presence of authorities or emergency vehicles on a road, such as law enforcement vehicles, fire engines, fire trucks, police officers, first responders, traffic cones, flares, etc. The detection system may include audio and visual detection system dedicated to the detection of authorities. Additionally, systems that correlate the detected authorities and/or any audible or visual instructions given by the authorities to changes in the behavior of the autonomous vehicle. The autonomous vehicle may react to the detected authorities or emergency vehicles by determining a driving related operation to safely operate around the detected authorities or emergency vehicles.

Systems and methods are provided for autonomous vehicle navigation. The systems and methods may map a lane mark, may map a directional arrow, selectively harvest road information based on data quality, map road segment free spaces, map traffic lights and determine traffic light relevancy, and map traffic lights and associated traffic light cycle times.

A vehicle control system may include a controller that obtains route information based on a driving route and a location of a vehicle, searches for an uneven road surface on the driving route based on the route information, calculates an impulse based on vehicle information and shape information about the found uneven road surface when the uneven road surface is found, and sets a target speed based on the calculated impulse and user data.

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

A vehicle control method includes recognizing a vicinity of a vehicle, setting a risk index for a traffic participant, and controlling a vehicle-mounted instrument of the vehicle based on the risk index which is set by the setter, and setting a risk index for a position at which the traffic participant will be present in the future based on ease of entry of the traffic participant from a sidewalk to a roadway adjacent to the sidewalk in a region that the traffic participant traveling on the sidewalk will enter in the future, and increasing a risk index to be set on the roadway side as there is a greater tendency for the traffic participant to enter the roadway.